Mykel J. Kochenderfer

537 papers A* 61A 34B 14C 22Misc 2Journal 337Unranked 65
YearRankTypeTitle / Venue / Authors
2026 J jnl
A New Strategy for Verifying Reach-Avoid Specifications in Neural Feedback Systems.
CoRR
Samuel I. Akinwande, Sydney M. Katz, Mykel J. Kochenderfer, Clark W. Barrett
2026 J jnl
A Semi-Decentralized Approach to Multiagent Control.
CoRR
Mahdi Al-Husseini, Mykel J. Kochenderfer, Kyle Hollins Wray
2026 J jnl
Backward Monte Carlo Tree Search: Charting Unsafe Regions in the Belief-Space.
J. Artif. Intell. Res.
Anil Yildiz, Esen Yel, Marcell Vazquez-Chanlatte, Kyle Hollins Wray, Mykel J. Kochenderfer, Stefan J. Witwicki
2026 J jnl
Crux.jl: Deep Reinforcement Learning in Julia.
J. Open Source Softw.
Robert J. Moss, Anthony Corso, Mykel J. Kochenderfer
2026 A* conf
Efficient Multiagent Planning via Shared Action Suggestions.
AAAI
Dylan M. Asmar, Mykel J. Kochenderfer
2026 J jnl
Expert Evaluation and the Limits of Human Feedback in Mental Health AI Safety Testing.
CoRR
Kiana Jafari Meimandi, Paul Ulrich Nikolaus Rust, Duncan Eddy, Robbie Fraser, Nina Vasan, Darja Djordjevic, Akanksha Dadlani, Max Lamparth, Eugenia Kim, Mykel J. Kochenderfer
2026 J jnl
Foundational World Models Accurately Detect Bimanual Manipulator Failures.
CoRR
Isaac Ronald Ward, Michelle Ho, Houjun Liu, Aaron O. Feldman, Joseph Vincent, Liam Kruse, Sean Cheong, Duncan Eddy, Mykel J. Kochenderfer, Mac Schwager
2026 J jnl
One Bias After Another: Mechanistic Reward Shaping and Persistent Biases in Language Reward Models.
CoRR
Daniel Fein, Max Lamparth, Violet Xiang, Mykel J. Kochenderfer, Nick Haber
2026 J jnl
Optimizing Task Completion Time Updates Using POMDPs.
CoRR
Duncan Eddy, Esen Yel, Emma Passmore, Niles Egan, Grayson Armour, Dylan M. Asmar, Mykel J. Kochenderfer
2026 J jnl
Physics-Informed Gaussian Processes for Efficient Envelope Expansion.
J. Aerosp. Inf. Syst.
D. Isaiah Harp, Joshua Ott, Dylan M. Asmar, John Alora, Mykel J. Kochenderfer
2026 J jnl
The Doctor Will (Still) See You Now: On the Structural Limits of Agentic AI in Healthcare.
CoRR
Gabriela Aránguiz-Dias, Kiana Jafari Meimandi, Allie Griffith, Carolina Aránguiz Dias, Grace Ra Kim, Lana Saadeddin, Mykel J. Kochenderfer
2026 J jnl
The FABRIC Strategy for Verifying Neural Feedback Systems.
CoRR
Samuel I. Akinwande, Sydney M. Katz, Mykel J. Kochenderfer, Clark W. Barrett
2026 J jnl
When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation.
CoRR
Mubashara Akhtar, Anka Reuel, Prajna Soni, Sanchit Ahuja, Pawan Sasanka Ammanamanchi, Ruchit Rawal, Vilém Zouhar, Srishti Yadav, Chenxi Whitehouse, Dayeon Ki, Jennifer Mickel, Leshem Choshen, Marek Suppa, Jan Batzner, Jenny Chim, Jeba Sania, Yanan Long, Hossein A. Rahmani, Christina Knight, Yiyang Nan, Jyoutir Raj, Yu Fan, Shubham Singh, Subramanyam Sahoo, Eliya Habba, Usman Gohar, Siddhesh Pawar, Robert Scholz, Arjun Subramonian, Jingwei Ni, Mykel J. Kochenderfer, Sanmi Koyejo, Mrinmaya Sachan, Stella Biderman, Zeerak Talat, Avijit Ghosh, Irene Solaiman
2026 J jnl
World Model Failure Classification and Anomaly Detection for Autonomous Inspection.
CoRR
Michelle Ho, Muhammad Fadhil Ginting, Isaac Ronald Ward, Andrzej Reinke, Mykel J. Kochenderfer, Ali Akbar Aghamohammadi, Shayegan Omidshafiei
2025 J jnl
A General Bayesian Framework for Informative Input Design in System Identification.
CoRR
Alexandros E. Tzikas, Mykel J. Kochenderfer
2025 — conf
ASTPrompter: Preference-Aligned Automated Language Model Red-Teaming to Generate Low-Perplexity Unsafe Prompts.
EMNLP (Findings)
Amelia Hardy, Houjun Liu, Allie Griffith, Bernard Lange, Duncan Eddy, Mykel J. Kochenderfer
2025 J jnl
Adaptive Science Operations in Deep Space Missions Using Offline Belief State Planning.
CoRR
Grace Ra Kim, Hailey Warner, Duncan Eddy, Evan Astle, Zachary Booth, Edward Balaban, Mykel J. Kochenderfer
2025 J jnl
Aircraft Collision Avoidance Systems: Technological Challenges and Solutions on the Path to Regulatory Acceptance.
CoRR
Sydney M. Katz, Robert J. Moss, Dylan M. Asmar, Wesley A. Olson, James K. Kuchar, Mykel J. Kochenderfer
2025 J jnl
An Adaptive Responsible AI Governance Framework for Decentralized Organizations.
CoRR
Kiana Jafari Meimandi, Anka Reuel, Gabriela Aránguiz-Dias, Hatim Rahama, Ala-Eddine Ayadi, Xavier Boullier, Jérémy Verdo, Louis Montanie, Mykel J. Kochenderfer
2025 J jnl
An Addendum to NeBula: Towards Extending TEAM CoSTAR's Solution to Larger Scale Environments.
CoRR
Ali Agha, Kyohei Otsu, Benjamin Morrell, David D. Fan, Sung-Kyun Kim, Muhammad Fadhil Ginting, Xianmei Lei, Jeffrey A. Edlund, Seyed Abolfazl Fakoorian, Amanda Bouman, Fernando Chavez, Taeyeon Kim, Gustavo J. Correa, Maira Saboia, Angel Santamaria-Navarro, Brett T. Lopez, Boseong Kim, Chanyoung Jung, Mamoru Sobue, Oriana Peltzer, Joshua Ott, Robert Trybula, Thomas Touma, Marcel Kaufmann, Tiago Stegun Vaquero, Torkom Pailevanian, Matteo Palieri, Yun Chang, Andrzej Reinke, Matthew Anderson, Frederik E. T. Schöller, Patrick Spieler, Lillian Clark, Avak Archanian, Kenny Chen, Hovhannes Melikyan, Anushri Dixit, Harrison Delecki, Daniel Pastor, Barry Ridge, Nicolas Marchal, Jose Uribe, Sharmita Dey, Kamak Ebadi, Kyle Coble, Alexander Nikitas Dimopoulos, Vivek Thangavelu, Vivek Shankar Varadharajan, Nicholas Palomo, Antoni Rosinol, Arghya Chatterjee, Christoforos Kanellakis, Björn Lindqvist, Micah Corah, Kyle Strickland, Ryan Stonebraker, Michael Milano, Christopher E. Denniston, Sami Sahnoune, Thomas Claudet, Seungwook Lee, Gautam Salhotra, Edward Terry, Rithvik Musuku, Robin Schmid, Tony Tran, Ara Kourchians, Justin Schachter, Héctor Azpúrua, Levi Resende, Arash Kalantari, Jeremy Nash, Josh Lee, Christopher Patterson, Jennifer G. Blank, Kartik Patath, Yuki Kubo, Ryan Alimo, Yasin Almalioglu, Aaron Curtis, Jacqueline H. Sly, Tesla Wells, Nhut T. Ho, Mykel J. Kochenderfer, Giovanni Beltrame, George Nikolakopoulos, David Hyunchul Shim, Luca Carlone, Joel Burdick
2025 J jnl
CompressedBeliefMDPs.jl: A Julia Package for Solving Large POMDPs with Belief Compression.
J. Open Source Softw.
Logan Mondal Bhamidipaty, Mykel J. Kochenderfer
2025 J jnl
Conditional Deep Generative Models for Belief State Planning.
CoRR
Antoine Bigeard, Anthony Corso, Mykel J. Kochenderfer
2025 J jnl
Correction: Tax-Aware Portfolio Construction Via Convex Optimization.
J. Optim. Theory Appl.
Nicholas Moehle, Mykel J. Kochenderfer, Stephen P. Boyd, Andrew Ang
2025 J jnl
DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding Spaces.
CoRR
Romeo Valentin, Sydney M. Katz, Vincent Vanhoucke, Mykel J. Kochenderfer
2025 J jnl
Diffusion Models for Safety Validation of Autonomous Driving Systems.
CoRR
Juanran Wang, Marc R. Schlichting, Harrison Delecki, Mykel J. Kochenderfer
2025 C conf
Distributionally Robust Control with Constraints on Linear Unidimensional Projections.
CoDIT
Alexandros E. Tzikas, Lukas Fiechtner, Arec L. Jamgochian, Mykel J. Kochenderfer
2025 J jnl
Distributionally Robust Control with Constraints on Linear Unidimensional Projections.
CoRR
Alexandros E. Tzikas, Lukas Fiechtner, Arec L. Jamgochian, Mykel J. Kochenderfer
2025 A* conf
Enhanced Importance Sampling Through Latent Space Exploration in Normalizing Flows.
AAAI
Liam Anthony Kruse, Alexandros E. Tzikas, Harrison Delecki, Mansur M. Arief, Mykel J. Kochenderfer
2025 J jnl
Enhanced Importance Sampling through Latent Space Exploration in Normalizing Flows.
CoRR
Liam A. Kruse, Alexandros E. Tzikas, Harrison Delecki, Mansur M. Arief, Mykel J. Kochenderfer
2025 J jnl
Enter the Mind Palace: Reasoning and Planning for Long-term Active Embodied Question Answering.
CoRR
Muhammad Fadhil Ginting, Dong-Ki Kim, Xiangyun Meng, Andrzej Reinke, Bandi Jai Krishna, Navid Kayhani, Oriana Peltzer, David D. Fan, Amirreza Shaban, Sung-Kyun Kim, Mykel J. Kochenderfer, Ali-Akbar Agha-Mohammadi, Shayegan Omidshafiei
2025 C conf
Entropy-regularized Point-based Value Iteration.
CoDIT
Harrison Delecki, Marcell Vazquez-Chanlatte, Esen Yel, Kyle Hollins Wray, Tomer Arnon, Stefan J. Witwicki, Mykel J. Kochenderfer
2025 J jnl
ExpFamilyPCA.jl: A Julia Package for Exponential Family Principal Component Analysis.
J. Open Source Softw.
Logan Mondal Bhamidipaty, Mykel J. Kochenderfer, Trevor Hastie
2025 C conf
Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals.
CoDIT
Harrison Delecki, Sydney M. Katz, Mykel J. Kochenderfer
2025 J jnl
General-Purpose Robotic Navigation via LVLM-Orchestrated Perception, Reasoning, and Acting.
CoRR
Bernard Lange, Anil Yildiz, Mansur M. Arief, Shehryar Khattak, Mykel J. Kochenderfer, Georgios Georgakis
2025 J jnl
Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments.
IEEE Robotics Autom. Lett.
Mansur M. Arief, Mike Timmerman, Jiachen Li, David Isele, Mykel J. Kochenderfer
2025 C conf
Improving the Resilience of Quadrotors in Underground Environments by Combining Learning-based and Safety Controllers.
CoDIT
Isaac Ronald Ward, Mark Paral, Kristopher Riordan, Mykel J. Kochenderfer
2025 J jnl
Improving the Resilience of Quadrotors in Underground Environments by Combining Learning-based and Safety Controllers.
CoRR
Isaac Ronald Ward, Mark Paral, Kristopher Riordan, Mykel J. Kochenderfer
2025 J jnl
Inferring Traffic Models in Terminal Airspace from Flight Tracks and Procedures.
J. Aerosp. Inf. Syst.
Soyeon Jung, Amelia Hardy, Mykel J. Kochenderfer
2025 — conf
Informative Input Design for Dynamic Mode Decomposition.
L4DC
Joshua Ott, Mykel J. Kochenderfer, Stephen Boyd
2025 C conf
Integrating Graph and Recurrent Neural Networks for Spatiotemporal Reasoning.
CoDIT
Victoria Magdalena Dax, Zhi Li, Xiaowei Zhang, Hemabh Shekhar, Jiachen Li, Mykel J. Kochenderfer
2025 J jnl
Large-scale multi-robot assembly planning for autonomous manufacturing.
Robotics Auton. Syst.
Kyle Brown, Dylan M. Asmar, Mac Schwager, Mykel J. Kochenderfer
2025 A conf
LeRAAT: LLM-Enabled Real-Time Aviation Advisory Tool.
ECAI
Marc R. Schlichting, Vale Rasmussen, Heba Alazzeh, Houjun Liu, Kiana Jafari Meimandi, Amelia F. Hardy, Dylan M. Asmar, Mykel J. Kochenderfer
2025 J jnl
LeRAAT: LLM-Enabled Real-Time Aviation Advisory Tool.
CoRR
Marc R. Schlichting, Vale Rasmussen, Heba Alazzeh, Houjun Liu, Kiana Jafari Meimandi, Amelia F. Hardy, Dylan M. Asmar, Mykel J. Kochenderfer
2025 J jnl
Learning to Trust: Bayesian Adaptation to Varying Suggester Reliability in Sequential Decision Making.
CoRR
Dylan M. Asmar, Mykel J. Kochenderfer
2025 J jnl
Managing Geological Uncertainty in Critical Mineral Supply Chains: A POMDP Approach with Application to U.S. Lithium Resources.
CoRR
Mansur M. Arief, Yasmine Alonso, CJ Oshiro, William Xu, Anthony Corso, David Zhen Yin, Jef Karel Caers, Mykel J. Kochenderfer
2025 J jnl
Markov Decision Processes for Satellite Maneuver Planning and Collision Avoidance.
CoRR
William Kuhl, Jun Wang, Duncan Eddy, Mykel J. Kochenderfer
2025 C conf
Model Identification Adaptive Control with ρ-POMDP Planning.
CoDIT
Michelle Ho, Arec L. Jamgochian, Mykel J. Kochenderfer
2025 J jnl
Model Identification Adaptive Control with ρ-POMDP Planning.
CoRR
Michelle Ho, Arec L. Jamgochian, Mykel J. Kochenderfer
2025 J jnl
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models.
CoRR
Kyla Guru, Robert J. Moss, Mykel J. Kochenderfer
2025 J jnl
Open Problems in Technical AI Governance.
Trans. Mach. Learn. Res.
Anka Reuel, Benjamin Bucknall, Stephen Casper, Timothy Fist, Lisa Soder, Onni Aarne, Lewis Hammond, Lujain Ibrahim, Alan Chan, Peter Wills, Markus Anderljung, Ben Garfinkel, Lennart Heim, Andrew Trask, Gabriel Mukobi, Rylan Schaeffer, Mauricio Baker, Sara Hooker, Irene Solaiman, Sasha Luccioni, Nitarshan Rajkumar, Nicolas Moës, Jeffrey Ladish, David Bau, Paul Bricman, Neel Guha, Jessica Newman, Yoshua Bengio, Tobin South, Alex Pentland, Sanmi Koyejo, Mykel J. Kochenderfer, Robert Trager
2025 J jnl
Physics-informed Gaussian Processes for Safe Envelope Expansion.
CoRR
D. Isaiah Harp, Joshua Ott, Dylan M. Asmar, John Alora, Mykel J. Kochenderfer
2025 J jnl
Predictive Uncertainty for Runtime Assurance of a Real-Time Computer Vision-Based Landing System.
CoRR
Romeo Valentin, Sydney M. Katz, Artur B. Carneiro, Don Walker, Mykel J. Kochenderfer
2025 J jnl
Resource Allocation under Stochastic Demands using Shrinking Horizon Optimization.
CoRR
Alexandros E. Tzikas, Nazim Kemal Ure, Mansur Arief, Mykel J. Kochenderfer, Stephen P. Boyd
2025 — conf
Responsible AI in the Global Context: Maturity Model and Survey.
FAccT
Anka Reuel, Patrick Connolly, Kiana Jafari Meimandi, Shekhar Tewari, Jakub Wiatrak, Dikshita Venkatesh, Mykel J. Kochenderfer
2025 — conf
Robust Planning for Autonomous Vehicles with Diffusion-Based Failure Samplers.
ITSC
Juanran Wang, Marc R. Schlichting, Mykel J. Kochenderfer
2025 J jnl
Robust Planning for Autonomous Vehicles with Diffusion-Based Failure Samplers.
CoRR
Juanran Wang, Marc R. Schlichting, Mykel J. Kochenderfer
2025 — conf
SCOUT: A Lightweight Framework for Scenario Coverage Assessment in Autonomous Driving.
ITSC
Anil Yildiz, Sarah M. Thornton, Carl Hildebrandt, Sreeja Roy-Singh, Mykel J. Kochenderfer
2025 J jnl
SCOUT: A Lightweight Framework for Scenario Coverage Assessment in Autonomous Driving.
CoRR
Anil Yildiz, Sarah M. Thornton, Carl Hildebrandt, Sreeja Roy-Singh, Mykel J. Kochenderfer
2025 A* conf
SayComply: Grounding Field Robotic Tasks in Operational Compliance Through Retrieval-Based Language Models.
ICRA
Muhammad Fadhil Ginting, Dong-Ki Kim, Sung-Kyun Kim, Bandi Jai Krishna, Mykel J. Kochenderfer, Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi
2025 J jnl
Scalable Ground Station Selection for Large LEO Constellations.
CoRR
Grace Ra Kim, Duncan Eddy, Vedant Srinivas, Mykel J. Kochenderfer
2025 C conf
Scalable Importance Sampling in High Dimensions with Low-Rank Mixture Proposals.
CoDIT
Liam A. Kruse, Marc R. Schlichting, Mykel J. Kochenderfer
2025 J jnl
Scalable Importance Sampling in High Dimensions with Low-Rank Mixture Proposals.
CoRR
Liam A. Kruse, Marc R. Schlichting, Mykel J. Kochenderfer
2025 J jnl
Scaling Recurrent Neural Networks to a Billion Parameters with Zero-Order Optimization.
CoRR
Francois Chaubard, Mykel J. Kochenderfer
2025 A* conf
Semi-Markovian Planning to Coordinate Aerial and Maritime Medical Evacuation Platforms.
AAAI
Mahdi Al-Husseini, Kyle Hollins Wray, Mykel J. Kochenderfer
2025 J jnl
Semi-Markovian planning to coordinate aerial and maritime medical evacuation platforms.
AI Mag.
Mahdi Al-Husseini, Kyle Hollins Wray, Mykel J. Kochenderfer
2025 J jnl
The Measurement Imbalance in Agentic AI Evaluation Undermines Industry Productivity Claims.
CoRR
Kiana Jafari Meimandi, Gabriela Aránguiz-Dias, Grace Ra Kim, Lana Saadeddin, Mykel J. Kochenderfer
2025 J jnl
Verifying Nonlinear Neural Feedback Systems using Polyhedral Enclosures.
CoRR
Samuel I. Akinwande, Chelsea Sidrane, Mykel J. Kochenderfer, Clark W. Barrett
2025 J jnl
Who Evaluates AI's Social Impacts? Mapping Coverage and Gaps in First and Third Party Evaluations.
CoRR
Anka Reuel, Avijit Ghosh, Jenny Chim, Andrew Tran, Yanan Long, Jennifer Mickel, Usman Gohar, Srishti Yadav, Pawan Sasanka Ammanamanchi, Mowafak Allaham, Hossein A. Rahmani, Mubashara Akhtar, Felix Friedrich, Robert Scholz, Michael Alexander Riegler, Jan Batzner, Eliya Habba, Arushi Saxena, Anastassia Kornilova, Kevin Wei, Prajna Soni, Yohan Mathew, Kevin Klyman, Jeba Sania, Subramanyam Sahoo, Olivia Beyer Bruvik, Pouya Sadeghi, Sujata S. Goswami, Angelina Wang, Yacine Jernite, Zeerak Talat, Stella Biderman, Mykel J. Kochenderfer, Sanmi Koyejo, Irene Solaiman
2025 J jnl
Zono-Conformal Prediction: Zonotope-Based Uncertainty Quantification for Regression and Classification Tasks.
CoRR
Laura Lützow, Michael Eichelbeck, Mykel J. Kochenderfer, Matthias Althoff
2025 J jnl
Zono-Conformal Prediction: Zonotope-Based Uncertainty Quantification for Regression and Classification Tasks.
J. Mach. Learn. Res.
Laura Lützow, Michael Eichelbeck, Mykel J. Kochenderfer, Matthias Althoff
2024 J jnl
ASTPrompter: Weakly Supervised Automated Language Model Red-Teaming to Identify Likely Toxic Prompts.
CoRR
Amelia F. Hardy, Houjun Liu, Bernard Lange, Mykel J. Kochenderfer
2024 J jnl
Active preference-based Gaussian process regression for reward learning and optimization.
Int. J. Robotics Res.
Erdem Biyik, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh
2024 A* conf
Addressing Myopic Constrained POMDP Planning with Recursive Dual Ascent.
ICAPS
Paula Stocco, Suhas Chundi, Arec L. Jamgochian, Mykel J. Kochenderfer
2024 J jnl
Addressing Myopic Constrained POMDP Planning with Recursive Dual Ascent.
CoRR
Paula Stocco, Suhas Chundi, Arec L. Jamgochian, Mykel J. Kochenderfer
2024 J jnl
Approximate Sequential Optimization for Informative Path Planning.
CoRR
Joshua Ott, Mykel J. Kochenderfer, Stephen P. Boyd
2024 J jnl
Approximate sequential optimization for informative path planning.
Robotics Auton. Syst.
Joshua Ott, Mykel J. Kochenderfer, Stephen P. Boyd
2024 J jnl
Artificial Intelligence and Formal Methods Join Forces for Reliable Autonomy (Dagstuhl Seminar 24361).
Dagstuhl Reports
Nils Jansen, Mykel J. Kochenderfer, Jan Kretínský, Jana Tumova, Maris F. L. Galesloot
2024 J jnl
Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems.
J. Aerosp. Inf. Syst.
Robert J. Moss, Mykel J. Kochenderfer, Maxime Gariel, Arthur Dubois
2024 J jnl
BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned Approximations.
RLJ
Robert J. Moss, Anthony Corso, Jef Caers, Mykel J. Kochenderfer
2024 A* conf
BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices.
NeurIPS
Anka Reuel-Lamparth, Amelia F. Hardy, Chandler Smith, Max Lamparth, Malcolm Hardy, Mykel J. Kochenderfer
2024 J jnl
BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices.
CoRR
Anka Reuel, Amelia F. Hardy, Chandler Smith, Max Lamparth, Malcolm Hardy, Mykel J. Kochenderfer
2024 J jnl
Beyond Gradient Averaging in Parallel Optimization: Improved Robustness through Gradient Agreement Filtering.
CoRR
Francois Chaubard, Duncan Eddy, Mykel J. Kochenderfer
2024 J jnl
Capability-aware Task Allocation and Team Formation Analysis for Cooperative Exploration of Complex Environments.
CoRR
Muhammad Fadhil Ginting, Kyohei Otsu, Mykel J. Kochenderfer, Ali-Akbar Agha-Mohammadi
2024 A* conf
Constrained Hierarchical Monte Carlo Belief-State Planning.
ICRA
Arec L. Jamgochian, Hugo Buurmeijer, Kyle Hollins Wray, Anthony Corso, Mykel J. Kochenderfer
2024 A* conf
ConstrainedZero: Chance-Constrained POMDP Planning Using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints.
IJCAI
Robert J. Moss, Arec L. Jamgochian, Johannes Fischer, Anthony Corso, Mykel J. Kochenderfer
2024 J jnl
ConstrainedZero: Chance-Constrained POMDP Planning using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints.
CoRR
Robert J. Moss, Arec L. Jamgochian, Johannes Fischer, Anthony Corso, Mykel J. Kochenderfer
2024 J jnl
Diffusion-Based Failure Sampling for Cyber-Physical Systems.
CoRR
Harrison Delecki, Marc R. Schlichting, Mansur M. Arief, Anthony Corso, Marcell Vazquez-Chanlatte, Mykel J. Kochenderfer
2024 J jnl
Discrete-Time Distribution Steering using Monte Carlo Tree Search.
CoRR
Alexandros E. Tzikas, Liam A. Kruse, Mansur M. Arief, Mykel J. Kochenderfer, Stephen Boyd
2024 J jnl
Disentangled Neural Relational Inference for Interpretable Motion Prediction.
CoRR
Victoria Magdalena Dax, Jiachen Li, Enna Sachdeva, Nakul Agarwal, Mykel J. Kochenderfer
2024 J jnl
Disentangled Neural Relational Inference for Interpretable Motion Prediction.
IEEE Robotics Autom. Lett.
Victoria Magdalena Dax, Jiachen Li, Enna Sachdeva, Nakul Agarwal, Mykel J. Kochenderfer
2024 J jnl
Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliers.
CoRR
Alexandros E. Tzikas, Licio Romao, Mert Pilanci, Alessandro Abate, Mykel J. Kochenderfer
2024 J jnl
Distributed Online Planning for Min-Max Problems in Networked Markov Games.
CoRR
Alexandros E. Tzikas, Jinkyoo Park, Mykel J. Kochenderfer, Ross E. Allen
2024 J jnl
Distributed Online Planning for Min-Max Problems in Networked Markov Games.
IEEE Robotics Autom. Lett.
Alexandros E. Tzikas, Jinkyoo Park, Mykel J. Kochenderfer, Ross E. Allen
2024 — conf
Efficient Line-of-Sight Viewpoint Sampling in Complex Environments for Autonomous Surface Inspection.
SSRR
Sangwoo Moon, Sung-Kyun Kim, Oriana Peltzer, Mykel J. Kochenderfer, Shehryar Khattak
2024 J jnl
Efficient Multiagent Planning via Shared Action Suggestions.
CoRR
Dylan M. Asmar, Mykel J. Kochenderfer
2024 J jnl
Entropy-regularized Point-based Value Iteration.
CoRR
Harrison Delecki, Marcell Vazquez-Chanlatte, Esen Yel, Kyle Hollins Wray, Tomer Arnon, Stefan J. Witwicki, Mykel J. Kochenderfer
2024 J jnl
Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals.
CoRR
Harrison Delecki, Sydney M. Katz, Mykel J. Kochenderfer
2024 J jnl
Graph Q-Learning for Combinatorial Optimization.
CoRR
Victoria Magdalena Dax, Jiachen Li, Kevin Leahy, Mykel J. Kochenderfer
2024 J jnl
Hierarchical Framework for Optimizing Wildfire Surveillance and Suppression Using Human-Autonomous Teaming.
J. Aerosp. Inf. Syst.
Mahdi Al-Husseini, Kyle Hollins Wray, Mykel J. Kochenderfer
2024 J jnl
Hierarchical Framework for Optimizing Wildfire Surveillance and Suppression using Human-Autonomous Teaming.
CoRR
Mahdi Al-Husseini, Kyle Hollins Wray, Mykel J. Kochenderfer
2024 J jnl
Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments.
CoRR
Mansur M. Arief, Mike Timmerman, Jiachen Li, David Isele, Mykel J. Kochenderfer
2024 J jnl
Informative Input Design for Dynamic Mode Decomposition.
CoRR
Joshua Ott, Mykel J. Kochenderfer, Stephen P. Boyd
2024 J jnl
Interactive Autonomous Navigation With Internal State Inference and Interactivity Estimation.
IEEE Trans. Robotics
Jiachen Li, David Isele, Kanghoon Lee, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
2024 J jnl
Learning-based methods for adaptive informative path planning.
Robotics Auton. Syst.
Marija Popovic, Joshua Ott, Julius Rückin, Mykel J. Kochenderfer
2024 J jnl
More than Marketing? On the Information Value of AI Benchmarks for Practitioners.
CoRR
Amelia F. Hardy, Anka Reuel, Kiana Jafari Meimandi, Lisa Soder, Allie Griffith, Dylan M. Asmar, Sanmi Koyejo, Michael S. Bernstein, Mykel J. Kochenderfer
2024 J jnl
Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation.
CoRR
Jiachen Li, Chuanbo Hua, Hengbo Ma, Jinkyoo Park, Victoria Magdalena Dax, Mykel J. Kochenderfer
2024 J jnl
Multi-scale Generative Modeling for Fast Sampling.
CoRR
Xiongye Xiao, Shixuan Li, Luzhe Huang, Gengshuo Liu, Trung-Kien Nguyen, Yi Huang, Di Chang, Mykel J. Kochenderfer, Paul Bogdan
2024 J jnl
Open Problems in Technical AI Governance.
CoRR
Anka Reuel, Ben Bucknall, Stephen Casper, Timothy Fist, Lisa Soder, Onni Aarne, Lewis Hammond, Lujain Ibrahim, Alan Chan, Peter Wills, Markus Anderljung, Ben Garfinkel, Lennart Heim, Andrew Trask, Gabriel Mukobi, Rylan Schaeffer, Mauricio Baker, Sara Hooker, Irene Solaiman, Alexandra Sasha Luccioni, Nitarshan Rajkumar, Nicolas Moës, Jeffrey Ladish, Neel Guha, Jessica Newman, Yoshua Bengio, Tobin South, Alex Pentland, Sanmi Koyejo, Mykel J. Kochenderfer, Robert Trager
2024 B conf
Optimal Control of Mechanical Ventilators with Learned Respiratory Dynamics.
CBMS
Isaac Ronald Ward, Dylan M. Asmar, Mansur M. Arief, Jana Krystofova Mike, Mykel J. Kochenderfer
2024 J jnl
Optimal Control of Mechanical Ventilators with Learned Respiratory Dynamics.
CoRR
Isaac Ronald Ward, Dylan M. Asmar, Mansur M. Arief, Jana Krystofova Mike, Mykel J. Kochenderfer
2024 J jnl
Optimal Ground Station Selection for Low-Earth Orbiting Satellites.
CoRR
Duncan Eddy, Michelle Ho, Mykel J. Kochenderfer
2024 A* conf
Optimality Guarantees for Particle Belief Approximation of POMDPs (Abstract Reprint).
IJCAI
Michael H. Lim, Tyler J. Becker, Mykel J. Kochenderfer, Claire J. Tomlin, Zachary Sunberg
2024 J jnl
Optimizing Falsification for Learning-Based Control Systems: A Multi-Fidelity Bayesian Approach.
CoRR
Zahra Shahrooei, Mykel J. Kochenderfer, Ali Baheri
2024 C conf
Predicting Future Spatiotemporal Occupancy Grids with Semantics for Autonomous Driving.
IV
Maneekwan Toyungyernsub, Esen Yel, Jiachen Li, Mykel J. Kochenderfer
2024 J jnl
Probabilistic Parameter Estimators and Calibration Metrics for Pose Estimation from Image Features.
CoRR
Romeo Valentin, Sydney M. Katz, Joonghyun Lee, Don Walker, Matthew Sorgenfrei, Mykel J. Kochenderfer
2024 A conf
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning.
WACV
Enna Sachdeva, Nakul Agarwal, Suhas Chundi, Sean Roelofs, Jiachen Li, Mykel J. Kochenderfer, Chiho Choi, Behzad Dariush
2024 J jnl
Responsible AI in the Global Context: Maturity Model and Survey.
CoRR
Anka Reuel, Patrick Connolly, Kiana Jafari Meimandi, Shekhar Tewari, Jakub Wiatrak, Dikshita Venkatesh, Mykel J. Kochenderfer
2024 C conf
Risk-aware Meta-level Decision Making for Exploration Under Uncertainty.
CoDIT
Joshua Ott, Sung-Kyun Kim, Amanda Bouman, Oriana Peltzer, Mamoru Sobue, Harrison Delecki, Mykel J. Kochenderfer, Joel Burdick, Ali-Akbar Agha-Mohammadi
2024 J jnl
Robotic Learning for Adaptive Informative Path Planning.
CoRR
Marija Popovic, Joshua Ott, Julius Rückin, Mykel J. Kochenderfer
2024 — conf
SEEK: Semantic Reasoning for Object Goal Navigation in Real World Inspection Tasks.
Robotics: Science and Systems
Muhammad Fadhil Ginting, Sung-Kyun Kim, David D. Fan, Matteo Palieri, Mykel J. Kochenderfer, Ali-Akbar Agha-Mohammadi
2024 J jnl
SEEK: Semantic Reasoning for Object Goal Navigation in Real World Inspection Tasks.
CoRR
Muhammad Fadhil Ginting, Sung-Kyun Kim, David D. Fan, Matteo Palieri, Mykel J. Kochenderfer, Ali-Akbar Agha-Mohammadi
2024 J jnl
Satisfiability.jl: Satisfiability Modulo Theories in Julia.
J. Open Source Softw.
Emiko Soroka, Mykel J. Kochenderfer, Sanjay Lall
2024 J jnl
SayComply: Grounding Field Robotic Tasks in Operational Compliance through Retrieval-Based Language Models.
CoRR
Muhammad Fadhil Ginting, Dong-Ki Kim, Sung-Kyun Kim, Bandi Jai Krishna, Mykel J. Kochenderfer, Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi
2024 A* conf
Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments.
ICRA
Bernard Lange, Jiachen Li, Mykel J. Kochenderfer
2024 J jnl
Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving.
CoRR
Bernard Lange, Masha Itkina, Jiachen Li, Mykel J. Kochenderfer
2024 A conf
Semantic Belief Behavior Graph: Enabling Autonomous Robot Inspection in Unknown Environments.
IROS
Muhammad Fadhil Ginting, David D. Fan, Sung-Kyun Kim, Mykel J. Kochenderfer, Ali-Akbar Agha-Mohammadi
2024 J jnl
Semantic Belief Behavior Graph: Enabling Autonomous Robot Inspection in Unknown Environments.
CoRR
Muhammad Fadhil Ginting, David D. Fan, Sung-Kyun Kim, Mykel J. Kochenderfer, Ali-Akbar Agha-Mohammadi
2024 J jnl
Semi-Markovian Planning to Coordinate Aerial and Maritime Medical Evacuation Platforms.
CoRR
Mahdi Al-Husseini, Kyle Hollins Wray, Mykel J. Kochenderfer
2024 J jnl
The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning.
CoRR
Ali Baheri, Mykel J. Kochenderfer
2024 C conf
Trajectory Optimization for Adaptive Informative Path Planning with Multimodal Sensing.
CoDIT
Joshua Ott, Edward Balaban, Mykel J. Kochenderfer
2024 J jnl
Trajectory Optimization for Adaptive Informative Path Planning with Multimodal Sensing.
CoRR
Joshua Ott, Edward Balaban, Mykel J. Kochenderfer
2024 J jnl
Watercraft as Overwater Ambulance Exchange Points to Enhance Aeromedical Evacuation.
CoRR
Mahdi Al-Husseini, Kyle Hollins Wray, Mykel J. Kochenderfer
2023 J jnl
A Holistic Assessment of the Reliability of Machine Learning Systems.
CoRR
Anthony Corso, David Karamadian, Romeo Valentin, Mary Cooper, Mykel J. Kochenderfer
2023 A* conf
AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator.
NeurIPS
Elysia Q. Smyers, Sydney M. Katz, Anthony Corso, Mykel J. Kochenderfer
2023 J jnl
AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator.
CoRR
Elysia Q. Smyers, Sydney M. Katz, Anthony L. Corso, Mykel J. Kochenderfer
2023 J jnl
Adaptive Coverage Path Planning for Efficient Exploration of Unknown Environments.
CoRR
Amanda Bouman, Joshua Ott, Sung-Kyun Kim, Kenny Chen, Mykel J. Kochenderfer, Brett T. Lopez, Ali-Akbar Agha-Mohammadi, Joel Burdick
2023 J jnl
Bayesian Safety Validation for Black-Box Systems.
CoRR
Robert J. Moss, Mykel J. Kochenderfer, Maxime Gariel, Arthur Dubois
2023 J jnl
BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned Approximations.
CoRR
Robert J. Moss, Anthony Corso, Jef Caers, Mykel J. Kochenderfer
2023 A* conf
Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model.
NeurIPS
Jiankai Sun, Yiqi Jiang, Jianing Qiu, Parth Nobel, Mykel J. Kochenderfer, Mac Schwager
2023 J jnl
Constrained Hierarchical Monte Carlo Belief-State Planning.
CoRR
Arec L. Jamgochian, Hugo Buurmeijer, Kyle Hollins Wray, Anthony Corso, Mykel J. Kochenderfer
2023 C conf
Deep Normalizing Flows for State Estimation.
FUSION
Harrison Delecki, Liam A. Kruse, Marc R. Schlichting, Mykel J. Kochenderfer
2023 J jnl
Deep Normalizing Flows for State Estimation.
CoRR
Harrison Delecki, Liam A. Kruse, Marc R. Schlichting, Mykel J. Kochenderfer
2023 J jnl
Efficient Determination of Safety Requirements for Perception Systems.
CoRR
Sydney M. Katz, Anthony L. Corso, Esen Yel, Mykel J. Kochenderfer
2023 C conf
Experience Filter: Using Past Experiences on Unseen Tasks or Environments.
IV
Anil Yildiz, Esen Yel, Anthony L. Corso, Kyle Hollins Wray, Stefan J. Witwicki, Mykel J. Kochenderfer
2023 J jnl
Experience Filter: Using Past Experiences on Unseen Tasks or Environments.
CoRR
Anil Yildiz, Esen Yel, Anthony L. Corso, Kyle Hollins Wray, Stefan J. Witwicki, Mykel J. Kochenderfer
2023 — conf
Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization.
ECC
Zahra Shahrooei, Mykel J. Kochenderfer, Ali Baheri
2023 A* conf
Fast and Scalable Signal Inference for Active Robotic Source Seeking.
ICRA
Christopher E. Denniston, Oriana Peltzer, Joshua Ott, Sangwoo Moon, Sung-Kyun Kim, Gaurav S. Sukhatme, Mykel J. Kochenderfer, Mac Schwager, Ali-Akbar Agha-Mohammadi
2023 J jnl
Fast and Scalable Signal Inference for Active Robotic Source Seeking.
CoRR
Christopher E. Denniston, Oriana Peltzer, Joshua Ott, Sangwoo Moon, Sung-Kyun Kim, Gaurav S. Sukhatme, Mykel J. Kochenderfer, Mac Schwager, Ali-Akbar Agha-Mohammadi
2023 J jnl
Generating probabilistic safety guarantees for neural network controllers.
Mach. Learn.
Sydney M. Katz, Kyle D. Julian, Christopher A. Strong, Mykel J. Kochenderfer
2023 J jnl
Global optimization of objective functions represented by ReLU networks.
Mach. Learn.
Christopher A. Strong, Haoze Wu, Aleksandar Zeljic, Kyle D. Julian, Guy Katz, Clark W. Barrett, Mykel J. Kochenderfer
2023 J jnl
Guest Editorial: Special issue on robust machine learning.
Mach. Learn.
Ransalu Senanayake, Daniel J. Fremont, Mykel J. Kochenderfer, Alessio R. Lomuscio, Dragos D. Margineantu, Cheng Soon Ong
2023 J jnl
Incorporating Human Path Preferences in Robot Navigation with Minimal Interventions.
CoRR
Oriana Peltzer, Dylan M. Asmar, Mac Schwager, Mykel J. Kochenderfer
2023 J jnl
Inferring Traffic Models in Terminal Airspace from Flight Tracks and Procedures.
CoRR
Soyeon Jung, Mykel J. Kochenderfer
2023 J jnl
Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation.
CoRR
Jiachen Li, David Isele, Kanghoon Lee, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
2023 J jnl
Joint Falsification and Fidelity Settings Optimization for Validation of Safety-Critical Systems: A Theoretical Analysis.
CoRR
Ali Baheri, Mykel J. Kochenderfer
2023 J jnl
Large-Scale Multi-Robot Assembly Planning for Autonomous Manufacturing.
CoRR
Kyle Brown, Dylan M. Asmar, Mac Schwager, Mykel J. Kochenderfer
2023 A* conf
Model Predictive Optimized Path Integral Strategies.
ICRA
Dylan M. Asmar, Ransalu Senanayake, Shawn Manuel, Mykel J. Kochenderfer
2023 — conf
Model-based Validation as Probabilistic Inference.
L4DC
Harrison Delecki, Anthony Corso, Mykel J. Kochenderfer
2023 J jnl
Model-based Validation as Probabilistic Inference.
CoRR
Harrison Delecki, Anthony Corso, Mykel J. Kochenderfer
2023 J jnl
Modeling Human Driving Behavior Through Generative Adversarial Imitation Learning.
IEEE Trans. Intell. Transp. Syst.
Raunak P. Bhattacharyya, Blake Wulfe, Derek J. Phillips, Alex Kuefler, Jeremy Morton, Ransalu Senanayake, Mykel J. Kochenderfer
2023 J jnl
Multirobot Navigation Using Partially Observable Markov Decision Processes with Belief-Based Rewards.
J. Aerosp. Inf. Syst.
Alexandros E. Tzikas, Derek Knowles, Grace Xingxin Gao, Mykel J. Kochenderfer
2023 A* conf
Online Planning for Constrained POMDPs with Continuous Spaces through Dual Ascent.
ICAPS
Arec L. Jamgochian, Anthony Corso, Mykel J. Kochenderfer
2023 J jnl
Optimality Guarantees for Particle Belief Approximation of POMDPs.
J. Artif. Intell. Res.
Michael H. Lim, Tyler J. Becker, Mykel J. Kochenderfer, Claire J. Tomlin, Zachary N. Sunberg
2023 J jnl
Optimizing Carbon Storage Operations for Long-Term Safety.
CoRR
Yizheng Wang, Markus Zechner, Gege Wen, Anthony Louis Corso, John Michael Mern, Mykel J. Kochenderfer, Jef Karel Caers
2023 J jnl
Predicting Future Spatiotemporal Occupancy Grids with Semantics for Autonomous Driving.
CoRR
Maneekwan Toyungyernsub, Esen Yel, Jiachen Li, Mykel J. Kochenderfer
2023 J jnl
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning.
CoRR
Enna Sachdeva, Nakul Agarwal, Suhas Chundi, Sean Roelofs, Jiachen Li, Behzad Dariush, Chiho Choi, Mykel J. Kochenderfer
2023 — conf
Robust Driving Policy Learning with Guided Meta Reinforcement Learning.
ITSC
Kanghoon Lee, Jiachen Li, David Isele, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
2023 J jnl
Robust Driving Policy Learning with Guided Meta Reinforcement Learning.
CoRR
Kanghoon Lee, Jiachen Li, David Isele, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
2023 — conf
SAVME: Efficient Safety Validation for Autonomous Systems Using Meta-Learning.
ITSC
Marc R. Schlichting, Nina V. Boord, Anthony L. Corso, Mykel J. Kochenderfer
2023 J jnl
SAVME: Efficient Safety Validation for Autonomous Systems Using Meta-Learning.
CoRR
Marc R. Schlichting, Nina V. Boord, Anthony L. Corso, Mykel J. Kochenderfer
2023 A* conf
SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments.
ICRA
Arec L. Jamgochian, Etienne Bührle, Johannes Fischer, Mykel J. Kochenderfer
2023 A* conf
Safe and Efficient Navigation in Extreme Environments using Semantic Belief Graphs.
ICRA
Muhammad Fadhil Ginting, Sung-Kyun Kim, Oriana Peltzer, Joshua Ott, Sunggoo Jung, Mykel J. Kochenderfer, Ali-Akbar Agha-Mohammadi
2023 J jnl
Safe and Efficient Navigation in Extreme Environments using Semantic Belief Graphs.
CoRR
Muhammad Fadhil Ginting, Sung-Kyun Kim, Oriana Peltzer, Joshua Ott, Sunggoo Jung, Mykel J. Kochenderfer, Ali-Akbar Agha-Mohammadi
2023 J jnl
Satisfiability.jl: Satisfiability Modulo Theories in Julia.
CoRR
Emiko Soroka, Mykel J. Kochenderfer, Sanjay Lall
2023 J jnl
Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments.
CoRR
Bernard Lange, Jiachen Li, Mykel J. Kochenderfer
2023 A* conf
Sequential Bayesian Optimization for Adaptive Informative Path Planning with Multimodal Sensing.
ICRA
Joshua Ott, Edward Balaban, Mykel J. Kochenderfer
2022 J jnl
A Deep Reinforcement Learning Approach to Rare Event Estimation.
CoRR
Anthony Corso, Kyu-Young Kim, Shubh Gupta, Grace Gao, Mykel J. Kochenderfer
2022 — conf
A Gray Box Model for Characterizing Driver Behavior.
SafeAI@AAAI
Soyeon Jung, Ransalu Senanayake, Mykel J. Kochenderfer
2022 J jnl
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling Through Particle Filtering.
IEEE Trans. Intell. Transp. Syst.
Raunak P. Bhattacharyya, Soyeon Jung, Liam A. Kruse, Ransalu Senanayake, Mykel J. Kochenderfer
2022 J jnl
A Mixed Integer Programming Approach for Verifying Properties of Binarized Neural Networks.
CoRR
Christopher Lazarus, Mykel J. Kochenderfer
2022 J jnl
A POMDP Model for Safe Geological Carbon Sequestration.
CoRR
Anthony Corso, Yizheng Wang, Markus Zechner, Jef Caers, Mykel J. Kochenderfer
2022 A conf
Adaptive Coverage Path Planning for Efficient Exploration of Unknown Environments.
IROS
Amanda Bouman, Joshua Ott, Sung-Kyun Kim, Kenny Chen, Mykel J. Kochenderfer, Brett T. Lopez, Ali-Akbar Agha-Mohammadi, Joel Burdick
2022 A conf
Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning.
AAMAS
Jennifer She, Jayesh K. Gupta, Mykel J. Kochenderfer
2022 J jnl
Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning.
CoRR
Jennifer She, Jayesh K. Gupta, Mykel J. Kochenderfer
2022 — conf
Autonomous Attack Mitigation for Industrial Control Systems.
DSN Workshops
John Mern, Kyle Hatch, Ryan Silva, Cameron Hickert, Tamim Sookoor, Mykel J. Kochenderfer
2022 J jnl
Backward Reachability Analysis of Neural Feedback Loops: Techniques for Linear and Nonlinear Systems.
CoRR
Nicholas Rober, Sydney M. Katz, Chelsea Sidrane, Esen Yel, Michael Everett, Mykel J. Kochenderfer, Jonathan P. How
2022 A conf
Capability-Aware Task Allocation and Team Formation Analysis for Cooperative Exploration of Complex Environments.
IROS
Muhammad Fadhil Ginting, Kyohei Otsu, Mykel J. Kochenderfer, Ali-Akbar Agha-Mohammadi
2022 A* conf
Collaborative Decision Making Using Action Suggestions.
NeurIPS
Dylan M. Asmar, Mykel J. Kochenderfer
2022 J jnl
Collaborative Decision Making Using Action Suggestions.
CoRR
Dylan M. Asmar, Mykel J. Kochenderfer
2022 J jnl
Collision Risk and Operational Impact of Speed Change Advisories as Aircraft Collision Avoidance Maneuvers.
CoRR
Sydney M. Katz, Luis E. Alvarez, Michael P. Owen, Samuel Wu, Marc Brittain, Anshuman Das, Mykel J. Kochenderfer
2022 J jnl
Conditional Approximate Normalizing Flows for Joint Multi-Step Probabilistic Forecasting with Application to Electricity Demand.
CoRR
Arec L. Jamgochian, Di Wu, Kunal Menda, Soyeon Jung, Mykel J. Kochenderfer
2022 A conf
Coordinated Multi-Agent Pathfinding for Drones and Trucks over Road Networks.
AAMAS
Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, Marco Pavone
2022 J jnl
Deep Binary Reinforcement Learning for Scalable Verification.
CoRR
Christopher Lazarus, Mykel J. Kochenderfer
2022 J jnl
Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning.
CoRR
Bertrand Charpentier, Ransalu Senanayake, Mykel J. Kochenderfer, Stephan Günnemann
2022 J jnl
Dynamic multi-robot task allocation under uncertainty and temporal constraints.
Auton. Robots
Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer, Dorsa Sadigh, Jeannette Bohg
2022 A conf
Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments.
IROS
Maneekwan Toyungyernsub, Esen Yel, Jiachen Li, Mykel J. Kochenderfer
2022 J jnl
Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments.
CoRR
Maneekwan Toyungyernsub, Esen Yel, Jiachen Li, Mykel J. Kochenderfer
2022 J jnl
EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for Trajectory Prediction.
CoRR
Jiachen Li, Chuanbo Hua, Jinkyoo Park, Hengbo Ma, Victoria Magdalena Dax, Mykel J. Kochenderfer
2022 A conf
FIG-OP: Exploring Large-Scale Unknown Environments on a Fixed Time Budget.
IROS
Oriana Peltzer, Amanda Bouman, Sung-Kyun Kim, Ransalu Senanayake, Joshua Ott, Harrison Delecki, Mamoru Sobue, Mykel J. Kochenderfer, Mac Schwager, Joel Burdick, Ali-Akbar Agha-Mohammadi
2022 J jnl
FIG-OP: Exploring Large-Scale Unknown Environments on a Fixed Time Budget.
CoRR
Oriana Peltzer, Amanda Bouman, Sung-Kyun Kim, Ransalu Senanayake, Joshua Ott, Harrison Delecki, Mamoru Sobue, Mykel J. Kochenderfer, Mac Schwager, Joel Burdick, Ali-Akbar Agha-Mohammadi
2022 J jnl
Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization.
CoRR
Zahra Shahrooei, Mykel J. Kochenderfer, Ali Baheri
2022 J jnl
Generalized Optimality Guarantees for Solving Continuous Observation POMDPs through Particle Belief MDP Approximation.
CoRR
Michael H. Lim, Tyler J. Becker, Mykel J. Kochenderfer, Claire J. Tomlin, Zachary N. Sunberg
2022 J jnl
Hierarchical Planning for Dynamic Resource Allocation in Smart and Connected Communities.
ACM Trans. Cyber Phys. Syst.
Geoffrey Pettet, Ayan Mukhopadhyay, Mykel J. Kochenderfer, Abhishek Dubey
2022 A conf
How Do We Fail? Stress Testing Perception in Autonomous Vehicles.
IROS
Harrison Delecki, Masha Itkina, Bernard Lange, Ransalu Senanayake, Mykel J. Kochenderfer
2022 J jnl
How Do We Fail? Stress Testing Perception in Autonomous Vehicles.
CoRR
Harrison Delecki, Masha Itkina, Bernard Lange, Ransalu Senanayake, Mykel J. Kochenderfer
2022 J jnl
Improving Automated Driving Through POMDP Planning With Human Internal States.
IEEE Trans. Intell. Transp. Syst.
Zachary Sunberg, Mykel J. Kochenderfer
2022 A* conf
Infrastructure-Enabled Autonomy: An Attention Mechanism for Occlusion Handling.
ICRA
Victoria Magdalena Dax, Mykel J. Kochenderfer, Ransalu Senanayake, Umair Ibrahim
2022 A* conf
Interaction Modeling with Multiplex Attention.
NeurIPS
Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang, Jiachen Li, Mykel J. Kochenderfer, Jiajun Wu, Nick Haber
2022 J jnl
Interaction Modeling with Multiplex Attention.
CoRR
Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang, Jiachen Li, Mykel J. Kochenderfer, Jiajun Wu, Nick Haber
2022 — conf
Interpretable Local Tree Surrogate Policies.
SafeAI@AAAI
John Mern, Sidhart Krishnan, Anil Yildiz, Kyle Hatch, Mykel J. Kochenderfer
2022 Misc conf
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction.
CoRL
Masha Itkina, Mykel J. Kochenderfer
2022 J jnl
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction.
CoRR
Masha Itkina, Mykel J. Kochenderfer
2022 J jnl
LOPR: Latent Occupancy PRediction using Generative Models.
CoRR
Bernard Lange, Masha Itkina, Mykel J. Kochenderfer
2022 A* conf
Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning.
ICRA
Sheng Li, Yutai Zhou, Ross E. Allen, Mykel J. Kochenderfer
2022 — ed.
Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA.
L4DC
Roya Firoozi, Negar Mehr, Esen Yel, Rika Antonova, Jeannette Bohg, Mac Schwager, Mykel J. Kochenderfer
2022 J jnl
Meta-SysId: A Meta-Learning Approach for Simultaneous Identification and Prediction.
CoRR
Junyoung Park, Federico Berto, Arec L. Jamgochian, Mykel J. Kochenderfer, Jinkyoo Park
2022 J jnl
Model Predictive Optimized Path Integral Strategies.
CoRR
Dylan M. Asmar, Ransalu Senanayake, Shawn Manuel, Mykel J. Kochenderfer
2022 A* conf
Multi-Agent Variational Occlusion Inference Using People as Sensors.
ICRA
Masha Itkina, Ye-Ji Mun, Katherine Driggs-Campbell, Mykel J. Kochenderfer
2022 A conf
Multi-Objective Policy Gradients with Topological Constraints.
IROS
Kyle Hollins Wray, Stas Tiomkin, Mykel J. Kochenderfer, Pieter Abbeel
2022 J jnl
Multi-Objective Policy Gradients with Topological Constraints.
CoRR
Kyle Hollins Wray, Stas Tiomkin, Mykel J. Kochenderfer, Pieter Abbeel
2022 J jnl
Multi-Vehicle Control in Roundabouts using Decentralized Game-Theoretic Planning.
CoRR
Arec L. Jamgochian, Kunal Menda, Mykel J. Kochenderfer
2022 J jnl
OVERT: An Algorithm for Safety Verification of Neural Network Control Policies for Nonlinear Systems.
J. Mach. Learn. Res.
Chelsea Sidrane, Amir Maleki, Ahmed Irfan, Mykel J. Kochenderfer
2022 J jnl
Online Planning for Constrained POMDPs with Continuous Spaces through Dual Ascent.
CoRR
Arec L. Jamgochian, Anthony Corso, Mykel J. Kochenderfer
2022 — conf
Optimal Pointing Sequences in Spacecraft Formation Flying Using Online Planning with Resource Constraints.
L4DC
Samuel Low, Mykel J. Kochenderfer
2022 — conf
Prioritizing emergency evacuations under compounding levels of uncertainty.
GHTC
Lisa J. Einstein, Robert J. Moss, Mykel J. Kochenderfer
2022 J jnl
Prioritizing emergency evacuations under compounding levels of uncertainty.
CoRR
Lisa J. Einstein, Robert J. Moss, Mykel J. Kochenderfer
2022 A* conf
Recursive Reasoning Graph for Multi-Agent Reinforcement Learning.
AAAI
Xiaobai Ma, David Isele, Jayesh K. Gupta, Kikuo Fujimura, Mykel J. Kochenderfer
2022 J jnl
Recursive Reasoning Graph for Multi-Agent Reinforcement Learning.
CoRR
Xiaobai Ma, David Isele, Jayesh K. Gupta, Kikuo Fujimura, Mykel J. Kochenderfer
2022 J jnl
Reluplex: a calculus for reasoning about deep neural networks.
Formal Methods Syst. Des.
Guy Katz, Clark W. Barrett, David L. Dill, Kyle Julian, Mykel J. Kochenderfer
2022 A* conf
Risk-Driven Design of Perception Systems.
NeurIPS
Anthony Corso, Sydney M. Katz, Craig Innes, Xin Du, Subramanian Ramamoorthy, Mykel J. Kochenderfer
2022 J jnl
Risk-Driven Design of Perception Systems.
CoRR
Anthony L. Corso, Sydney M. Katz, Craig Innes, Xin Du, Subramanian Ramamoorthy, Mykel J. Kochenderfer
2022 J jnl
Risk-aware Meta-level Decision Making for Exploration Under Uncertainty.
CoRR
Joshua Ott, Sung-Kyun Kim, Amanda Bouman, Oriana Peltzer, Mamoru Sobue, Harrison Delecki, Mykel J. Kochenderfer, Joel Burdick, Ali-Akbar Agha-Mohammadi
2022 J jnl
SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments.
CoRR
Arec L. Jamgochian, Etienne Bührle, Johannes Fischer, Mykel J. Kochenderfer
2022 A* conf
Scalable Anytime Planning for Multi-Agent MDPs (Extended Abstract).
IJCAI
Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer
2022 J jnl
Scalable Online Planning for Multi-Agent MDPs.
J. Artif. Intell. Res.
Shushman Choudhury, Jayesh K. Gupta, Peter Morales, Mykel J. Kochenderfer
2022 J jnl
Sequential Bayesian Optimization for Adaptive Informative Path Planning with Multimodal Sensing.
CoRR
Joshua Ott, Edward Balaban, Mykel J. Kochenderfer
2022 — conf
Strategic Asset Allocation with Illiquid Alternatives.
ICAIF
Eric Luxenberg, Stephen P. Boyd, Misha van Beek, Wen Cao, Mykel J. Kochenderfer
2022 J jnl
Strategic Asset Allocation with Illiquid Alternatives.
CoRR
Eric Luxenberg, Stephen P. Boyd, Mykel J. Kochenderfer, Misha van Beek, Wen Cao, Steven Diamond, Alex Ulitsky, Kunal Menda, Vidy Vairavamurthy
2022 — conf
Uncertainty-Aware Online Merge Planning with Learned Driver Behavior.
ITSC
Liam A. Kruse, Esen Yel, Ransalu Senanayake, Mykel J. Kochenderfer
2022 J jnl
Uncertainty-Aware Online Merge Planning with Learned Driver Behavior.
CoRR
Liam A. Kruse, Esen Yel, Ransalu Senanayake, Mykel J. Kochenderfer
2022 — conf
Using Adaptive Stress Testing to Identify Paths to Ethical Dilemmas in Autonomous Systems.
SafeAI@AAAI
Ann-Katrin Reuel, Mark Koren, Anthony Corso, Mykel J. Kochenderfer
2022 J jnl
Verification of Image-Based Neural Network Controllers Using Generative Models.
J. Aerosp. Inf. Syst.
Sydney M. Katz, Anthony L. Corso, Christopher A. Strong, Mykel J. Kochenderfer
2022 J jnl
Verifying Inverse Model Neural Networks.
CoRR
Chelsea Sidrane, Sydney M. Katz, Anthony Corso, Mykel J. Kochenderfer
2022 — conf
ZoPE: A Fast Optimizer for ReLU Networks with Low-Dimensional Inputs.
NFM
Christopher A. Strong, Sydney M. Katz, Anthony L. Corso, Mykel J. Kochenderfer
2021 A conf
3D Radar Velocity Maps for Uncertain Dynamic Environments.
IROS
Ransalu Senanayake, Kyle Beltran Hatch, Jason Zheng, Mykel J. Kochenderfer
2021 J jnl
3D Radar Velocity Maps for Uncertain Dynamic Environments.
CoRR
Ransalu Senanayake, Kyle Beltran Hatch, Jason Zheng, Mykel J. Kochenderfer
2021 J jnl
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through Particle Filtering.
CoRR
Raunak P. Bhattacharyya, Soyeon Jung, Liam Kruse, Ransalu Senanayake, Mykel J. Kochenderfer
2021 — conf
A Mixed Integer Programming Approach for Verifying Properties of Binarized Neural Networks.
AISafety@IJCAI
Christopher Lazarus, Mykel J. Kochenderfer
2021 J jnl
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems.
J. Artif. Intell. Res.
Anthony Corso, Robert J. Moss, Mark Koren, Ritchie Lee, Mykel J. Kochenderfer
2021 J jnl
Algorithms for Verifying Deep Neural Networks.
Found. Trends Optim.
Changliu Liu, Tomer Arnon, Christopher Lazarus, Christopher A. Strong, Clark W. Barrett, Mykel J. Kochenderfer
2021 A conf
Attention Augmented ConvLSTM for Environment Prediction.
IROS
Bernard Lange, Masha Itkina, Mykel J. Kochenderfer
2021 J jnl
Autonomous Attack Mitigation for Industrial Control Systems.
CoRR
John Mern, Kyle Hatch, Ryan Silva, Cameron Hickert, Tamim Sookoor, Mykel J. Kochenderfer
2021 A* conf
Bayesian Optimized Monte Carlo Planning.
AAAI
John Mern, Anil Yildiz, Zachary Sunberg, Tapan Mukerji, Mykel J. Kochenderfer
2021 J jnl
Coordinated Multi-Agent Pathfinding for Drones and Trucks over Road Networks.
CoRR
Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, Marco Pavone
2021 A conf
Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning.
AAMAS
Sheng Li, Jayesh K. Gupta, Peter Morales, Ross E. Allen, Mykel J. Kochenderfer
2021 A* conf
Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments.
ICRA
Maneekwan Toyungyernsub, Masha Itkina, Ransalu Senanayake, Mykel J. Kochenderfer
2021 C conf
Dyadic Sex Composition and Task Classification Using fNIRS Hyperscanning Data.
ICMLA
Liam A. Kruse, Allan L. Reiss, Mykel J. Kochenderfer, Stephanie Balters
2021 J jnl
Dyadic Sex Composition and Task Classification Using fNIRS Hyperscanning Data.
CoRR
Liam A. Kruse, Allan L. Reiss, Mykel J. Kochenderfer, Stephanie Balters
2021 J jnl
Efficient Large-Scale Multi-Drone Delivery using Transit Networks.
J. Artif. Intell. Res.
Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, Marco Pavone
2021 A* conf
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models.
NeurIPS
Phil Chen, Masha Itkina, Ransalu Senanayake, Mykel J. Kochenderfer
2021 J jnl
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models.
CoRR
Phil Chen, Masha Itkina, Ransalu Senanayake, Mykel J. Kochenderfer
2021 A conf
Finding Failures in High-Fidelity Simulation using Adaptive Stress Testing and the Backward Algorithm.
IROS
Mark Koren, Ahmed Nassar, Mykel J. Kochenderfer
2021 J jnl
Finding Failures in High-Fidelity Simulation using Adaptive Stress Testing and the Backward Algorithm.
CoRR
Mark Koren, Ahmed Nassar, Mykel J. Kochenderfer
2021 J jnl
Generating Probabilistic Safety Guarantees for Neural Network Controllers.
CoRR
Sydney M. Katz, Kyle D. Julian, Christopher A. Strong, Mykel J. Kochenderfer
2021 J jnl
Hierarchical Planning for Dynamic Resource Allocation in Smart and Connected Communities.
CoRR
Geoffrey Pettet, Ayan Mukhopadhyay, Mykel J. Kochenderfer, Abhishek Dubey
2021 — conf
Hierarchical planning for resource allocation in emergency response systems.
ICCPS
Geoffrey Pettet, Ayan Mukhopadhyay, Mykel J. Kochenderfer, Abhishek Dubey
2021 A* conf
Improved POMDP Tree Search Planning with Prioritized Action Branching.
AAAI
John Mern, Anil Yildiz, Lawrence Bush, Tapan Mukerji, Mykel J. Kochenderfer
2021 J jnl
Interpretable Local Tree Surrogate Policies.
CoRR
John Mern, Sidhart Krishnan, Anil Yildiz, Kyle Hatch, Mykel J. Kochenderfer
2021 J jnl
Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning.
CoRR
Sheng Li, Yutai Zhou, Ross E. Allen, Mykel J. Kochenderfer
2021 J jnl
Measurable Monte Carlo Search Error Bounds.
CoRR
John Mern, Mykel J. Kochenderfer
2021 J jnl
Multi-Agent Variational Occlusion Inference Using People as Sensors.
CoRR
Masha Itkina, Ye-Ji Mun, Katherine Driggs-Campbell, Mykel J. Kochenderfer
2021 J jnl
Multimodal sensing and intuitive steering assistance improve navigation and mobility for people with impaired vision.
Sci. Robotics
Patrick Slade, Arjun Tambe, Mykel J. Kochenderfer
2021 J jnl
OVERT: An Algorithm for Safety Verification of Neural Network Control Policies for Nonlinear Systems.
CoRR
Chelsea Sidrane, Amir Maleki, Ahmed Irfan, Mykel J. Kochenderfer
2021 — conf
Out-of-Distribution Detection for Automotive Perception.
ITSC
Julia Nitsch, Masha Itkina, Ransalu Senanayake, Juan I. Nieto, Max Schmidt, Roland Siegwart, Mykel J. Kochenderfer, Cesar Cadena
2021 J jnl
Preference-based Learning of Reward Function Features.
CoRR
Sydney M. Katz, Amir Maleki, Erdem Biyik, Mykel J. Kochenderfer
2021 A* conf
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships.
ICRA
Xiaobai Ma, Jiachen Li, Mykel J. Kochenderfer, David Isele, Kikuo Fujimura
2021 J jnl
Reinforcement Learning for Industrial Control Network Cyber Security Orchestration.
CoRR
John Mern, Kyle Hatch, Ryan Silva, Jeff Brush, Mykel J. Kochenderfer
2021 A conf
Scalable Anytime Planning for Multi-Agent MDPs.
AAMAS
Shushman Choudhury, Jayesh K. Gupta, Peter Morales, Mykel J. Kochenderfer
2021 J jnl
Scalable Anytime Planning for Multi-Agent MDPs.
CoRR
Shushman Choudhury, Jayesh K. Gupta, Peter Morales, Mykel J. Kochenderfer
2021 J jnl
Tax-Aware Portfolio Construction via Convex Optimization.
J. Optim. Theory Appl.
Nicholas Moehle, Mykel J. Kochenderfer, Stephen P. Boyd, Andrew Ang
2021 J jnl
Training Structured Mechanical Models by Minimizing Discrete Euler-Lagrange Residual.
CoRR
Kunal Menda, Jayesh K. Gupta, Zachary Manchester, Mykel J. Kochenderfer
2021 A* conf
Transfer Learning for Efficient Iterative Safety Validation.
AAAI
Anthony Corso, Mykel J. Kochenderfer
2021 J jnl
Verification of Image-based Neural Network Controllers Using Generative Models.
CoRR
Sydney M. Katz, Anthony L. Corso, Christopher A. Strong, Mykel J. Kochenderfer
2021 — conf
WildfireDB: An Open-Source Dataset Connecting Wildfire Occurrence with Relevant Determinants.
NeurIPS Datasets and Benchmarks
Samriddhi Singla, Ayan Mukhopadhyay, Michael Wilbur, Tina Diao, Vinayak Gajjewar, Ahmed Eldawy, Mykel J. Kochenderfer, Ross D. Shachter, Abhishek Dubey
2021 J jnl
ZoPE: A Fast Optimizer for ReLU Networks with Low-Dimensional Inputs.
CoRR
Christopher A. Strong, Sydney M. Katz, Anthony L. Corso, Mykel J. Kochenderfer
2020 J jnl
A Maximum Independent Set Method for Scheduling Earth Observing Satellite Constellations.
CoRR
Duncan Eddy, Mykel J. Kochenderfer
2020 J jnl
A Review of Emergency Incident Prediction, Resource Allocation and Dispatch Models.
CoRR
Ayan Mukhopadhyay, Geoffrey Pettet, Sayyed Vazirizade, Yevgeniy Vorobeychik, Mykel J. Kochenderfer, Abhishek Dubey
2020 J jnl
A Survey of Algorithms for Black-Box Safety Validation.
CoRR
Anthony Corso, Robert J. Moss, Mark Koren, Ritchie Lee, Mykel J. Kochenderfer
2020 — conf
Active Preference-Based Gaussian Process Regression for Reward Learning.
Robotics: Science and Systems
Erdem Biyik, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh
2020 J jnl
Active Preference-Based Gaussian Process Regression for Reward Learning.
CoRR
Erdem Biyik, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh
2020 A* conf
Adaptive Informative Path Planning with Multimodal Sensing.
ICAPS
Shushman Choudhury, Nate Gruver, Mykel J. Kochenderfer
2020 J jnl
Adaptive Informative Path Planning with Multimodal Sensing.
CoRR
Shushman Choudhury, Nate Gruver, Mykel J. Kochenderfer
2020 J jnl
Adaptive Stress Testing of Trajectory Predictions in Flight Management Systems.
CoRR
Robert J. Moss, Ritchie Lee, Nicholas Visser, Joachim Hochwarth, James G. Lopez, Mykel J. Kochenderfer
2020 — conf
Adaptive Stress Testing without Domain Heuristics using Go-Explore.
ITSC
Mark Koren, Mykel J. Kochenderfer
2020 J jnl
Adaptive Stress Testing without Domain Heuristics using Go-Explore.
CoRR
Mark Koren, Mykel J. Kochenderfer
2020 J jnl
Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning.
J. Artif. Intell. Res.
Ritchie Lee, Ole J. Mengshoel, Anshu Saksena, Ryan W. Gardner, Daniel Genin, Joshua Silbermann, Michael P. Owen, Mykel J. Kochenderfer
2020 J jnl
Analysis of Fleet Management and Network Design for On-Demand Urban Air Mobility Operations.
CoRR
Sheng Li, Maxim Egorov, Mykel J. Kochenderfer
2020 J jnl
Attention Augmented ConvLSTM forEnvironment Prediction.
CoRR
Bernard Lange, Masha Itkina, Mykel J. Kochenderfer
2020 J jnl
Bayesian Optimized Monte Carlo Planning.
CoRR
John Mern, Anil Yildiz, Zachary Sunberg, Tapan Mukerji, Mykel J. Kochenderfer
2020 J jnl
Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving.
IEEE Trans. Intell. Veh.
Carl-Johan Hoel, Katherine Rose Driggs-Campbell, Krister Wolff, Leo Laine, Mykel J. Kochenderfer
2020 J jnl
Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning.
CoRR
Sheng Li, Jayesh K. Gupta, Peter Morales, Ross E. Allen, Mykel J. Kochenderfer
2020 — conf
Designing Emergency Response Pipelines : Lessons and Challenges.
AI4SG@AAAI Fall Symposium
Ayan Mukhopadhyay, Geoffrey Pettet, Mykel J. Kochenderfer, Abhishek Dubey
2020 J jnl
Designing Emergency Response Pipelines : Lessons and Challenges.
CoRR
Ayan Mukhopadhyay, Geoffrey Pettet, Mykel J. Kochenderfer, Abhishek Dubey
2020 — conf
Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments.
ITSC
Ransalu Senanayake, Maneekwan Toyungyernsub, Mingyu Wang, Mykel J. Kochenderfer, Mac Schwager
2020 J jnl
Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments.
CoRR
Ransalu Senanayake, Maneekwan Toyungyernsub, Mingyu Wang, Mykel J. Kochenderfer, Mac Schwager
2020 J jnl
Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments.
CoRR
Maneekwan Toyungyernsub, Masha Itkina, Ransalu Senanayake, Mykel J. Kochenderfer
2020 — conf
Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints.
Robotics: Science and Systems
Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer, Dorsa Sadigh, Jeannette Bohg
2020 J jnl
Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints.
CoRR
Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer, Dorsa Sadigh, Jeannette Bohg
2020 A* conf
Efficient Large-Scale Multi-Drone Delivery Using Transit Networks.
ICRA
Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, Marco Pavone
2020 J jnl
Estimation and control using sampling-based Bayesian reinforcement learning.
IET Cyper-Phys. Syst.: Theory & Appl.
Patrick Slade, Zachary N. Sunberg, Mykel J. Kochenderfer
2020 A* conf
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders.
NeurIPS
Masha Itkina, Boris Ivanovic, Ransalu Senanayake, Mykel J. Kochenderfer, Marco Pavone
2020 J jnl
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders.
CoRR
Masha Itkina, Boris Ivanovic, Ransalu Senanayake, Mykel J. Kochenderfer, Marco Pavone
2020 C conf
Exchangeable Input Representations for Reinforcement Learning.
ACC
John Mern, Dorsa Sadigh, Mykel J. Kochenderfer
2020 J jnl
Exchangeable Input Representations for Reinforcement Learning.
CoRR
John Mern, Dorsa Sadigh, Mykel J. Kochenderfer
2020 J jnl
Global Optimization of Objective Functions Represented by ReLU Networks.
CoRR
Christopher A. Strong, Haoze Wu, Aleksandar Zeljic, Kyle D. Julian, Guy Katz, Clark W. Barrett, Mykel J. Kochenderfer
2020 A* conf
Handling Missing Data with Graph Representation Learning.
NeurIPS
Jiaxuan You, Xiaobai Ma, Daisy Yi Ding, Mykel J. Kochenderfer, Jure Leskovec
2020 J jnl
Handling Missing Data with Graph Representation Learning.
CoRR
Jiaxuan You, Xiaobai Ma, Daisy Yi Ding, Mykel J. Kochenderfer, Jure Leskovec
2020 J jnl
Hierarchical Planning for Resource Allocation in Emergency Response Systems.
CoRR
Geoffrey Pettet, Ayan Mukhopadhyay, Mykel J. Kochenderfer, Abhishek Dubey
2020 J jnl
Improved POMDP Tree Search Planning with Prioritized Action Branching.
CoRR
John Mern, Anil Yildiz, Larry Bush, Tapan Mukerji, Mykel J. Kochenderfer
2020 J jnl
Improving Automated Driving through Planning with Human Internal States.
CoRR
Zachary Sunberg, Mykel J. Kochenderfer
2020 — conf
Interpretable Safety Validation for Autonomous Vehicles.
ITSC
Anthony Corso, Mykel J. Kochenderfer
2020 J jnl
Interpretable Safety Validation for Autonomous Vehicles.
CoRR
Anthony Corso, Mykel J. Kochenderfer
2020 A* conf
Learning Near Optimal Policies with Low Inherent Bellman Error.
ICML
Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill
2020 J jnl
Learning Near Optimal Policies with Low Inherent Bellman Error.
CoRR
Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill
2020 J jnl
Model primitives for hierarchical lifelong reinforcement learning.
Auton. Agents Multi Agent Syst.
Bohan Wu, Jayesh K. Gupta, Mykel J. Kochenderfer
2020 J jnl
Modeling Human Driving Behavior through Generative Adversarial Imitation Learning.
CoRR
Raunak P. Bhattacharyya, Blake Wulfe, Derek J. Phillips, Alex Kuefler, Jeremy Morton, Ransalu Senanayake, Mykel J. Kochenderfer
2020 J jnl
Modeling and Prediction of Human Driver Behavior: A Survey.
CoRR
Kyle Brown, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
2020 A conf
Multi-agent Adversarial Inverse Reinforcement Learning with Latent Variables.
AAMAS
Nate Gruver, Jiaming Song, Mykel J. Kochenderfer, Stefano Ermon
2020 A conf
Normalizing Flow Model for Policy Representation in Continuous Action Multi-agent Systems.
AAMAS
Xiaobai Ma, Jayesh K. Gupta, Mykel J. Kochenderfer
2020 — conf
Normalizing Flow Policies for Multi-agent Systems.
GameSec
Xiaobai Ma, Jayesh K. Gupta, Mykel J. Kochenderfer
2020 J jnl
Obstacle Avoidance Using a Monocular Camera.
CoRR
Kyle Hatch, John Mern, Mykel J. Kochenderfer
2020 A conf
On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities.
AAMAS
Geoffrey Pettet, Ayan Mukhopadhyay, Mykel J. Kochenderfer, Yevgeniy Vorobeychik, Abhishek Dubey
2020 J jnl
On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities.
CoRR
Geoffrey Pettet, Ayan Mukhopadhyay, Mykel J. Kochenderfer, Yevgeniy Vorobeychik, Abhishek Dubey
2020 C conf
Online Parameter Estimation for Human Driver Behavior Prediction.
ACC
Raunak P. Bhattacharyya, Ransalu Senanayake, Kyle Brown, Mykel J. Kochenderfer
2020 J jnl
Online Parameter Estimation for Human Driver Behavior Prediction.
CoRR
Raunak P. Bhattacharyya, Ransalu Senanayake, Kyle Brown, Mykel J. Kochenderfer
2020 A* conf
Optimal Sequential Task Assignment and Path Finding for Multi-Agent Robotic Assembly Planning.
ICRA
Kyle Brown, Oriana Peltzer, Martin A. Sehr, Mac Schwager, Mykel J. Kochenderfer
2020 J jnl
Optimal Sequential Task Assignment and Path Finding for Multi-Agent Robotic Assembly Planning.
CoRR
Kyle Brown, Oriana Peltzer, Martin A. Sehr, Mac Schwager, Mykel J. Kochenderfer
2020 J jnl
Out-of-Distribution Detection for Automotive Perception.
CoRR
Julia Nitsch, Masha Itkina, Ransalu Senanayake, Juan I. Nieto, Max Schmidt, Roland Siegwart, Mykel J. Kochenderfer, Cesar Cadena
2020 A* conf
Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes.
AAAI
Maxime Bouton, Jana Tumova, Mykel J. Kochenderfer
2020 J jnl
Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes.
CoRR
Maxime Bouton, Jana Tumova, Mykel J. Kochenderfer
2020 A* conf
Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration.
NeurIPS
Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill
2020 J jnl
Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration.
CoRR
Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill
2020 A* conf
Reinforcement Learning for Adaptive Illumination with X-rays.
ICRA
Jean-Raymond Betterton, Daniel Ratner, Samuel Webb, Mykel J. Kochenderfer
2020 J jnl
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships.
CoRR
Xiaobai Ma, Jiachen Li, Mykel J. Kochenderfer, David Isele, Kikuo Fujimura
2020 — conf
Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic.
ITSC
Maxime Bouton, Alireza Nakhaei, David Isele, Kikuo Fujimura, Mykel J. Kochenderfer
2020 J jnl
Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic.
CoRR
Maxime Bouton, Alireza Nakhaei, David Isele, Kikuo Fujimura, Mykel J. Kochenderfer
2020 A conf
Robust Spatial-Temporal Incident Prediction.
UAI
Ayan Mukhopadhyay, Kai Wang, Andrew Perrault, Mykel J. Kochenderfer, Milind Tambe, Yevgeniy Vorobeychik
2020 J jnl
Runtime Safety Assurance Using Reinforcement Learning.
CoRR
Christopher Lazarus, James G. Lopez, Mykel J. Kochenderfer
2020 J jnl
STT-CBS: A Conflict-Based Search Algorithm for Multi-Agent Path Finding with Stochastic Travel Times.
CoRR
Oriana Peltzer, Kyle Brown, Mac Schwager, Mykel J. Kochenderfer, Martin A. Sehr
2020 — conf
Scalable Autonomous Vehicle Safety Validation through Dynamic Programming and Scene Decomposition.
ITSC
Anthony Corso, Ritchie Lee, Mykel J. Kochenderfer
2020 J jnl
Scalable Autonomous Vehicle Safety Validation through Dynamic Programming and Scene Decomposition.
CoRR
Anthony Corso, Ritchie Lee, Mykel J. Kochenderfer
2020 A* conf
Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM.
ICML
Kunal Menda, Jean de Becdelièvre, Jayesh K. Gupta, Ilan Kroo, Mykel J. Kochenderfer, Zachary Manchester
2020 J jnl
Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM.
CoRR
Kunal Menda, Jean de Becdelièvre, Jayesh K. Gupta, Ilan Kroo, Mykel J. Kochenderfer, Zachary Manchester
2020 — conf
Structured Mechanical Models for Robot Learning and Control.
L4DC
Jayesh K. Gupta, Kunal Menda, Zachary Manchester, Mykel J. Kochenderfer
2020 J jnl
Structured Mechanical Models for Robot Learning and Control.
CoRR
Jayesh K. Gupta, Kunal Menda, Zachary Manchester, Mykel J. Kochenderfer
2020 J jnl
The Adaptive Stress Testing Formulation.
CoRR
Mark Koren, Anthony Corso, Mykel J. Kochenderfer
2020 J jnl
Towards Recurrent Autoregressive Flow Models.
CoRR
John Mern, Peter Morales, Mykel J. Kochenderfer
2020 J jnl
Transfer Learning for Efficient Iterative Safety Validation.
CoRR
Anthony Corso, Mykel J. Kochenderfer
2020 — conf
Uncertainty Aware Wildfire Management.
AI4SG@AAAI Fall Symposium
Tina Diao, Samriddhi Singla, Ayan Mukhopadhyay, Ahmed Eldawy, Ross D. Shachter, Mykel J. Kochenderfer
2020 J jnl
Uncertainty Aware Wildfire Management.
CoRR
Tina Diao, Samriddhi Singla, Ayan Mukhopadhyay, Ahmed Eldawy, Ross D. Shachter, Mykel J. Kochenderfer
2020 — conf
Validation of Image-Based Neural Network Controllers through Adaptive Stress Testing.
ITSC
Kyle D. Julian, Ritchie Lee, Mykel J. Kochenderfer
2020 J jnl
Validation of Image-Based Neural Network Controllers through Adaptive Stress Testing.
CoRR
Kyle D. Julian, Ritchie Lee, Mykel J. Kochenderfer
2019 J jnl
A General Framework for Structured Learning of Mechanical Systems.
CoRR
Jayesh K. Gupta, Kunal Menda, Zachary Manchester, Mykel J. Kochenderfer
2019 J jnl
A Reachability Method for Verifying Dynamical Systems with Deep Neural Network Controllers.
CoRR
Kyle D. Julian, Mykel J. Kochenderfer
2019 J jnl
Adaptive Stress Testing for Autonomous Vehicles.
CoRR
Mark Koren, Saud Alsaif, Ritchie Lee, Mykel J. Kochenderfer
2019 — conf
Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validatio.
ITSC
Anthony Corso, Peter Du, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
2019 J jnl
Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validation.
CoRR
Anthony Corso, Peter Du, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
2019 J jnl
Algorithms for Verifying Deep Neural Networks.
CoRR
Changliu Liu, Tomer Arnon, Christopher Lazarus, Clark W. Barrett, Mykel J. Kochenderfer
2019 A* conf
Almost Horizon-Free Structure-Aware Best Policy Identification with a Generative Model.
NeurIPS
Andrea Zanette, Mykel J. Kochenderfer, Emma Brunskill
2019 J jnl
Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving.
CoRR
Carl-Johan Hoel, Katherine Rose Driggs-Campbell, Krister Wolff, Leo Laine, Mykel J. Kochenderfer
2019 — conf
Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic.
ITSC
Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer
2019 J jnl
Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic.
CoRR
Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer
2019 C conf
Critical Factor Graph Situation Clusters for Accelerated Automotive Safety Validation.
IV
Tim Allan Wheeler, Mykel J. Kochenderfer
2019 J jnl
Decomposition methods with deep corrections for reinforcement learning.
Auton. Agents Multi Agent Syst.
Maxime Bouton, Kyle D. Julian, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer
2019 J jnl
Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processes.
IEEE Trans. Intell. Transp. Syst.
Kunal Menda, Yi-Chun Chen, Justin Grana, James W. Bono, Brendan D. Tracey, Mykel J. Kochenderfer, David H. Wolpert
2019 A* conf
Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control.
IJCAI
Jeremy Morton, Freddie D. Witherden, Mykel J. Kochenderfer
2019 J jnl
Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control.
CoRR
Jeremy Morton, Freddie D. Witherden, Mykel J. Kochenderfer
2019 — conf
Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning.
ITSC
Masha Itkina, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
2019 J jnl
Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning.
CoRR
Masha Itkina, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
2019 C conf
Dynamic Real-time Multimodal Routing with Hierarchical Hybrid Planning.
IV
Shushman Choudhury, Jacob P. Knickerbocker, Mykel J. Kochenderfer
2019 J jnl
Dynamic Real-time Multimodal Routing with Hierarchical Hybrid Planning.
CoRR
Shushman Choudhury, Mykel J. Kochenderfer
2019 — conf
Efficient Autonomy Validation in Simulation with Adaptive Stress Testing.
ITSC
Mark Koren, Mykel J. Kochenderfer
2019 J jnl
Efficient Autonomy Validation in Simulation with Adaptive Stress Testing.
CoRR
Mark Koren, Mykel J. Kochenderfer
2019 J jnl
Efficient Large-Scale Multi-Drone Delivery Using Transit Networks.
CoRR
Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, Marco Pavone
2019 A conf
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning.
IROS
Kunal Menda, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
2019 J jnl
Guaranteeing Safety for Neural Network-Based Aircraft Collision Avoidance Systems.
CoRR
Kyle D. Julian, Mykel J. Kochenderfer
2019 A* conf
HG-DAgger: Interactive Imitation Learning with Human Experts.
ICRA
Michael Kelly, Chelsea Sidrane, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
2019 J jnl
Health-Informed Policy Gradients for Multi-Agent Reinforcement Learning.
CoRR
Ross E. Allen, Javona White Bear, Jayesh K. Gupta, Mykel J. Kochenderfer
2019 A* conf
Hunting Drones with Other Drones: Tracking a Moving Radio Target.
ICRA
Louis Dressel, Mykel J. Kochenderfer
2019 J jnl
Hybrid Planning for Dynamic Multimodal Stochastic Shortest Paths.
CoRR
Shushman Choudhury, Mykel J. Kochenderfer
2019 J jnl
Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning.
CoRR
Xiaobai Ma, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
2019 J jnl
Learning Probabilistic Trajectory Models of Aircraft in Terminal Airspace From Position Data.
IEEE Trans. Intell. Transp. Syst.
Shane T. Barratt, Mykel J. Kochenderfer, Stephen P. Boyd
2019 J jnl
Learning an Urban Air Mobility Encounter Model from Expert Preferences.
CoRR
Sydney M. Katz, Anne-Claire Le Bihan, Mykel J. Kochenderfer
2019 A* conf
Limiting Extrapolation in Linear Approximate Value Iteration.
NeurIPS
Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill
2019 J jnl
Markov Decision Processes For Multi-Objective Satellite Task Planning.
CoRR
Duncan Eddy, Mykel J. Kochenderfer
2019 A conf
Model Primitive Hierarchical Lifelong Reinforcement Learning.
AAMAS
Bohan Wu, Jayesh K. Gupta, Mykel J. Kochenderfer
2019 J jnl
Model Primitive Hierarchical Lifelong Reinforcement Learning.
CoRR
Bohan Wu, Jayesh K. Gupta, Mykel J. Kochenderfer
2019 A* conf
Monte Carlo Tree Search for Policy Optimization.
IJCAI
Xiaobai Ma, Katherine Rose Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer
2019 J jnl
Monte-Carlo Tree Search for Policy Optimization.
CoRR
Xiaobai Ma, Katherine Rose Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer
2019 A conf
Object Exchangability in Reinforcement Learning.
AAMAS
John Mern, Dorsa Sadigh, Mykel J. Kochenderfer
2019 J jnl
Object Exchangeability in Reinforcement Learning: Extended Abstract.
CoRR
John Mern, Dorsa Sadigh, Mykel J. Kochenderfer
2019 J jnl
Optimizing Collision Avoidance in Dense Airspace using Deep Reinforcement Learning.
CoRR
Sheng Li, Maxim Egorov, Mykel J. Kochenderfer
2019 J jnl
Parameter-Conditioned Sequential Generative Modeling of Fluid Flows.
CoRR
Jeremy Morton, Freddie D. Witherden, Mykel J. Kochenderfer
2019 C conf
Pedestrian Collision Avoidance System for Scenarios with Occlusions.
IV
Markus Schratter, Maxime Bouton, Mykel J. Kochenderfer, Daniel Watzenig
2019 J jnl
Pedestrian Collision Avoidance System for Scenarios with Occlusions.
CoRR
Markus Schratter, Maxime Bouton, Mykel J. Kochenderfer, Daniel Watzenig
2019 J jnl
Real-time Prediction of Automotive Collision Risk from Monocular Video.
CoRR
Derek J. Phillips, Juan Carlos Aragon, Anjali Roychowdhury, Regina Madigan, Sunil Chintakindi, Mykel J. Kochenderfer
2019 J jnl
Recovering missing CFD data for high-order discretizations using deep neural networks and dynamics learning.
J. Comput. Phys.
Kevin T. Carlberg, Antony Jameson, Mykel J. Kochenderfer, Jeremy Morton, Liqian Peng, Freddie D. Witherden
2019 J jnl
Reinforcement Learning with Probabilistic Guarantees for Autonomous Driving.
CoRR
Maxime Bouton, Jesper Karlsson, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer, Jana Tumova
2019 J jnl
Rethinking System Health Management.
CoRR
Edward Balaban, Stephen B. Johnson, Mykel J. Kochenderfer
2019 C conf
Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments.
IV
Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer
2019 J jnl
Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments.
CoRR
Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer
2019 J jnl
Satellite Image Tasking Under Orbit Prediction Uncertainty.
CoRR
Duncan Eddy, Mykel J. Kochenderfer
2019 A* conf
Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning.
ICRA
Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu, Jayesh K. Gupta, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
2019 J jnl
Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning.
CoRR
Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu, Jayesh K. Gupta, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
2019 — conf
Stochastic Model Predictive Control for Scheduling Charging of Electric Vehicle Fleets with Market Power.
ICCVE
Arec L. Jamgochian, Mykel J. Kochenderfer
2019 — conf
The Marabou Framework for Verification and Analysis of Deep Neural Networks.
CAV (1)
Guy Katz, Derek A. Huang, Duligur Ibeling, Kyle Julian, Christopher Lazarus, Rachel Lim, Parth Shah, Shantanu Thakoor, Haoze Wu, Aleksandar Zeljic, David L. Dill, Mykel J. Kochenderfer, Clark W. Barrett
2019 J jnl
Toward Closing the Loop on Human Values.
IEEE Trans. Intell. Veh.
Sarah M. Thornton, Benjamin Limonchik, Francis E. Lewis, Mykel J. Kochenderfer, J. Christian Gerdes
2019 J jnl
Tutorial on the generation of ergodic trajectories with projection-based gradient descent.
IET Cyper-Phys. Syst.: Theory & Appl.
Louis Dressel, Mykel J. Kochenderfer
2019 J jnl
Unifying System Health Management and Automated Decision Making.
J. Artif. Intell. Res.
Edward Balaban, Stephen B. Johnson, Mykel J. Kochenderfer
2019 J jnl
Verifying Aircraft Collision Avoidance Neural Networks Through Linear Approximations of Safe Regions.
CoRR
Kyle D. Julian, Shivam Sharma, Jean-Baptiste Jeannin, Mykel J. Kochenderfer
2018 B conf
Adaptive Stress Testing for Autonomous Vehicles.
Intelligent Vehicles Symposium
Mark Koren, Saud Alsaif, Ritchie Lee, Mykel J. Kochenderfer
2018 J jnl
Adaptive Stress Testing: Finding Failure Events with Reinforcement Learning.
CoRR
Ritchie Lee, Ole J. Mengshoel, Anshu Saksena, Ryan W. Gardner, Daniel Genin, Joshua Silbermann, Michael P. Owen, Mykel J. Kochenderfer
2018 A* conf
Amortized Inference Regularization.
NeurIPS
Rui Shu, Hung H. Bui, Shengjia Zhao, Mykel J. Kochenderfer, Stefano Ermon
2018 J jnl
Amortized Inference Regularization.
CoRR
Rui Shu, Hung H. Bui, Shengjia Zhao, Mykel J. Kochenderfer, Stefano Ermon
2018 — conf
Analytically Modeling Unmanaged Intersections with Microscopic Vehicle Interactions.
ITSC
Changliu Liu, Mykel J. Kochenderfer
2018 J jnl
Analytically Modeling Unmanaged Intersections with Microscopic Vehicle Interactions.
CoRR
Changliu Liu, Mykel J. Kochenderfer
2018 J jnl
Analyzing Traffic Delay at Unmanaged Intersections.
CoRR
Changliu Liu, Mykel J. Kochenderfer
2018 A conf
Burn-In Demonstrations for Multi-Modal Imitation Learning.
AAMAS
Alex Kuefler, Mykel J. Kochenderfer
2018 — conf
Closed-Loop Planning for Disaster Evacuation with Stochastic Arrivals.
ITSC
Chelsea Sidrane, Mykel J. Kochenderfer
2018 J jnl
Closed-Loop Policies for Operational Tests of Safety-Critical Systems.
IEEE Trans. Intell. Veh.
Jeremy Morton, Tim Allan Wheeler, Mykel J. Kochenderfer
2018 A* conf
Deep Dynamical Modeling and Control of Unsteady Fluid Flows.
NeurIPS
Jeremy Morton, Antony Jameson, Mykel J. Kochenderfer, Freddie D. Witherden
2018 J jnl
Deep Dynamical Modeling and Control of Unsteady Fluid Flows.
CoRR
Jeremy Morton, Freddie D. Witherden, Antony Jameson, Mykel J. Kochenderfer
2018 J jnl
Deep Neural Network Compression for Aircraft Collision Avoidance Systems.
CoRR
Kyle D. Julian, Mykel J. Kochenderfer, Michael P. Owen
2018 J jnl
Distributed Wildfire Surveillance with Autonomous Aircraft using Deep Reinforcement Learning.
CoRR
Kyle D. Julian, Mykel J. Kochenderfer
2018 J jnl
Efficient and Low-cost Localization of Radio Signals with a Multirotor UAV.
CoRR
Louis Dressel, Mykel J. Kochenderfer
2018 J jnl
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning.
CoRR
Kunal Menda, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
2018 J jnl
Estimation and Control Using Sampling-Based Bayesian Reinforcement Learning.
CoRR
Patrick Slade, Zachary N. Sunberg, Mykel J. Kochenderfer
2018 B conf
Exploiting Hierarchy for Scalable Decision Making in Autonomous Driving.
Intelligent Vehicles Symposium
Ekhlas Sonu, Zachary Sunberg, Mykel J. Kochenderfer
2018 A conf
Gaussian Process Dynamic Programming for Optimizing Ungrounded Haptic Guidance.
IROS
Julie M. Walker, Allison M. Okamura, Mykel J. Kochenderfer
2018 J jnl
HG-DAgger: Interactive Imitation Learning with Human Experts.
CoRR
Michael Kelly, Chelsea Sidrane, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
2018 J jnl
Horizontal Maneuver Coordination for Aircraft Collision-Avoidance Systems.
J. Aerosp. Inf. Syst.
Rachael E. Tompa, Blake Wulfe, Mykel J. Kochenderfer, Michael P. Owen
2018 J jnl
Image-based Guidance of Autonomous Aircraft for Wildfire Surveillance and Prediction.
CoRR
Kyle D. Julian, Mykel J. Kochenderfer
2018 B conf
Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning.
Intelligent Vehicles Symposium
Xiaobai Ma, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
2018 A conf
Improving Offline Value-Function Approximations for POMDPs by Reducing Discount Factors.
IROS
Yi-Chun Chen, Mykel J. Kochenderfer, Matthijs T. J. Spaan
2018 A conf
Interpretable Categorization of Heterogeneous Time Series Data.
SDM
Ritchie Lee, Mykel J. Kochenderfer, Ole J. Mengshoel, Joshua Silbermann
2018 J jnl
Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures.
CoRR
John Mern, Jayesh K. Gupta, Mykel J. Kochenderfer
2018 J jnl
Learning Probabilistic Trajectory Models of Aircraft in Terminal Airspace from Position Data.
CoRR
Shane T. Barratt, Mykel J. Kochenderfer, Stephen P. Boyd
2018 A conf
Multi-Agent Imitation Learning for Driving Simulation.
IROS
Raunak P. Bhattacharyya, Derek J. Phillips, Blake Wulfe, Jeremy Morton, Alex Kuefler, Mykel J. Kochenderfer
2018 J jnl
Multi-Agent Imitation Learning for Driving Simulation.
CoRR
Raunak P. Bhattacharyya, Derek J. Phillips, Blake Wulfe, Jeremy Morton, Alex Kuefler, Mykel J. Kochenderfer
2018 A conf
Multi-Agent Reinforcement Learning for Multi-Object Tracking.
AAMAS
Pol Rosello, Mykel J. Kochenderfer
2018 C conf
On the Optimality of Ergodic Trajectories for Information Gathering Tasks.
ACC
Louis Dressel, Mykel J. Kochenderfer
2018 J jnl
On the Optimality of Ergodic Trajectories for Information Gathering Tasks.
CoRR
Louis Dressel, Mykel J. Kochenderfer
2018 A* conf
Online Algorithms for POMDPs with Continuous State, Action, and Observation Spaces.
ICAPS
Zachary N. Sunberg, Mykel J. Kochenderfer
2018 A conf
People as Sensors: Imputing Maps from Human Actions.
IROS
Oladapo Afolabi, Katherine Rose Driggs-Campbell, Roy Dong, Mykel J. Kochenderfer, S. Shankar Sastry
2018 A* conf
Pseudo-bearing Measurements for Improved Localization of Radio Sources with Multirotor UAVs.
ICRA
Louis Dressel, Mykel J. Kochenderfer
2018 A conf
Real-Time Prediction of Intermediate-Horizon Automotive Collision Risk.
AAMAS
Blake Wulfe, Sunil Chintakindi, Sou-Cheng T. Choi, Rory Hartong-Redden, Anuradha Kodali, Mykel J. Kochenderfer
2018 J jnl
Real-time Prediction of Intermediate-Horizon Automotive Collision Risk.
CoRR
Blake Wulfe, Sunil Chintakindi, Sou-Cheng T. Choi, Rory Hartong-Redden, Anuradha Kodali, Mykel J. Kochenderfer
2018 J jnl
Recovering missing CFD data for high-order discretizations using deep neural networks and dynamics learning.
CoRR
Kevin T. Carlberg, Antony Jameson, Mykel J. Kochenderfer, Jeremy Morton, Liqian Peng, Freddie D. Witherden
2018 — conf
Rethinking Style and Content Disentanglement in Variational Autoencoders.
ICLR (Workshop)
Rui Shu, Shengjia Zhao, Mykel J. Kochenderfer
2018 — conf
Robust Super-Level Set Estimation Using Gaussian Processes.
ECML/PKDD (2)
Andrea Zanette, Junzi Zhang, Mykel J. Kochenderfer
2018 J jnl
Robust Super-Level Set Estimation using Gaussian Processes.
CoRR
Andrea Zanette, Junzi Zhang, Mykel J. Kochenderfer
2018 A* conf
Scalable Decision Making with Sensor Occlusions for Autonomous Driving.
ICRA
Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer
2018 J jnl
Toward Scalable Verification for Safety-Critical Deep Networks.
CoRR
Lindsey Kuper, Guy Katz, Justin Gottschlich, Kyle Julian, Clark W. Barrett, Mykel J. Kochenderfer
2018 — conf
Using Neural Networks to Generate Information Maps for Mobile Sensors.
CDC
Louis Dressel, Mykel J. Kochenderfer
2018 J jnl
Using Neural Networks to Generate Information Maps for Mobile Sensors.
CoRR
Louis Dressel, Mykel J. Kochenderfer
2018 A conf
Utility Decomposition with Deep Corrections for Scalable Planning under Uncertainty.
AAMAS
Maxime Bouton, Kyle Julian, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer
2018 J jnl
Utility Decomposition with Deep Corrections for Scalable Planning under Uncertainty.
CoRR
Maxime Bouton, Kyle Julian, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer
2018 B conf
Value Sensitive Design for Autonomous Vehicle Motion Planning.
Intelligent Vehicles Symposium
Sarah M. Thornton, Francis E. Lewis, Vivian Zhang, Mykel J. Kochenderfer, J. Christian Gerdes
2018 J jnl
Visual Depth Mapping from Monocular Images using Recurrent Convolutional Neural Networks.
CoRR
John Mern, Kyle Julian, Rachael E. Tompa, Mykel J. Kochenderfer
2017 J jnl
A comparison of Monte Carlo tree search and rolling horizon optimization for large-scale dynamic resource allocation problems.
Eur. J. Oper. Res.
Dimitris Bertsimas, J. Daniel Griffith, Vishal Gupta, Mykel J. Kochenderfer, Velibor V. Misic
2017 J jnl
Analysis of Recurrent Neural Networks for Probabilistic Modeling of Driver Behavior.
IEEE Trans. Intell. Transp. Syst.
Jeremy Morton, Tim Allan Wheeler, Mykel J. Kochenderfer
2017 J jnl
Belief State Planning for Autonomously Navigating Urban Intersections.
CoRR
Maxime Bouton, Akansel Cosgun, Mykel J. Kochenderfer
2017 B conf
Belief state planning for autonomously navigating urban intersections.
Intelligent Vehicles Symposium
Maxime Bouton, Akansel Cosgun, Mykel J. Kochenderfer
2017 J jnl
Burn-In Demonstrations for Multi-Modal Imitation Learning.
CoRR
Alex Kuefler, Mykel J. Kochenderfer
2017 — conf
Cooperative Multi-agent Control Using Deep Reinforcement Learning.
AAMAS Workshops (Selected Papers)
Jayesh K. Gupta, Maxim Egorov, Mykel J. Kochenderfer
2017 J jnl
Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processes.
CoRR
Kunal Menda, Yi-Chun Chen, Justin Grana, James W. Bono, Brendan D. Tracey, Mykel J. Kochenderfer, David H. Wolpert
2017 J jnl
Deep Stochastic Radar Models.
CoRR
Tim Allan Wheeler, Martin Holder, Hermann Winner, Mykel J. Kochenderfer
2017 B conf
Deep stochastic radar models.
Intelligent Vehicles Symposium
Tim Allan Wheeler, Martin Holder, Hermann Winner, Mykel J. Kochenderfer
2017 J jnl
DropoutDAgger: A Bayesian Approach to Safe Imitation Learning.
CoRR
Kunal Menda, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
2017 A* conf
Efficient Decision-Theoretic Target Localization.
ICAPS
Louis Dressel, Mykel J. Kochenderfer
2017 B conf
Generalizable intention prediction of human drivers at intersections.
Intelligent Vehicles Symposium
Derek J. Phillips, Tim Allan Wheeler, Mykel J. Kochenderfer
2017 B conf
Geometric Concept Acquisition in a Dueling Deep Q-Network.
CogSci
Alex Kuefler, Mykel J. Kochenderfer, James L. McClelland
2017 Misc conf
Heuristics for planning with rare catastrophic events.
WSC
Youngjun Kim, Yonatan Gur, Mykel J. Kochenderfer
2017 B conf
Imitating driver behavior with generative adversarial networks.
Intelligent Vehicles Symposium
Alex Kuefler, Jeremy Morton, Tim Allan Wheeler, Mykel J. Kochenderfer
2017 J jnl
Interpretable Categorization of Heterogeneous Time Series Data.
CoRR
Ritchie Lee, Mykel J. Kochenderfer, Ole J. Mengshoel, Joshua Silbermann
2017 — conf
Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures.
SSCI
John Mern, Jayesh K. Gupta, Mykel J. Kochenderfer
2017 J jnl
Learning Discrete Bayesian Networks from Continuous Data.
J. Artif. Intell. Res.
Yi-Chun Chen, Tim Allan Wheeler, Mykel J. Kochenderfer
2017 J jnl
Learning Traffic Patterns at Small Airports From Flight Tracks.
IEEE Trans. Intell. Transp. Syst.
Zouhair Mahboubi, Mykel J. Kochenderfer
2017 J jnl
Optimal Testing of Self-Driving Cars.
CoRR
Jeremy Morton, Tim Allan Wheeler, Mykel J. Kochenderfer
2017 J jnl
POMCPOW: An online algorithm for POMDPs with continuous state, action, and observation spaces.
CoRR
Zachary Sunberg, Mykel J. Kochenderfer
2017 J jnl
POMDPs.jl: A Framework for Sequential Decision Making under Uncertainty.
J. Mach. Learn. Res.
Maxim Egorov, Zachary N. Sunberg, Edward Balaban, Tim Allan Wheeler, Jayesh K. Gupta, Mykel J. Kochenderfer
2017 J jnl
People as Sensors: Imputing Maps from Human Actions.
CoRR
Oladapo Afolabi, Katherine Rose Driggs-Campbell, Roy Dong, Mykel J. Kochenderfer, S. Shankar Sastry
2017 — conf
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks.
CAV (1)
Guy Katz, Clark W. Barrett, David L. Dill, Kyle Julian, Mykel J. Kochenderfer
2017 J jnl
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks.
CoRR
Guy Katz, Clark W. Barrett, David L. Dill, Kyle Julian, Mykel J. Kochenderfer
2017 J jnl
Simultaneous Policy Learning and Latent State Inference for Imitating Driver Behavior.
CoRR
Jeremy Morton, Mykel J. Kochenderfer
2017 A conf
Simultaneous active parameter estimation and control using sampling-based Bayesian reinforcement learning.
IROS
Patrick Slade, Preston Culbertson, Zachary Sunberg, Mykel J. Kochenderfer
2017 J jnl
Simultaneous active parameter estimation and control using sampling-based Bayesian reinforcement learning.
CoRR
Patrick Slade, Preston Culbertson, Zachary Sunberg, Mykel J. Kochenderfer
2017 — conf
Simultaneous policy learning and latent state inference for imitating driver behavior.
ITSC
Jeremy Morton, Mykel J. Kochenderfer
2017 J jnl
The Value of Inferring the Internal State of Traffic Participants for Autonomous Freeway Driving.
CoRR
Zachary Sunberg, Christopher Ho, Mykel J. Kochenderfer
2017 C conf
The value of inferring the internal state of traffic participants for autonomous freeway driving.
ACC
Zachary N. Sunberg, Christopher J. Ho, Mykel J. Kochenderfer
2017 — conf
Towards Proving the Adversarial Robustness of Deep Neural Networks.
FVAV@iFM
Guy Katz, Clark W. Barrett, David L. Dill, Kyle Julian, Mykel J. Kochenderfer
2017 A* conf
Weighted Double Q-learning.
IJCAI
Zongzhang Zhang, Zhiyuan Pan, Mykel J. Kochenderfer
2016 — conf
Analysis of microscopic behavior models for probabilistic modeling of driver behavior.
ITSC
Tim Allan Wheeler, Philipp Robbel, Mykel J. Kochenderfer
2016 B conf
Customer Simulation for Direct Marketing Experiments.
DSAA
Yegor Tkachenko, Mykel J. Kochenderfer, Krzysztof Kluza
2016 B conf
Decision-theoretic approach to designing cyber resilient systems.
NCA
Vineet Mehta, Paul D. Rowe, Gene Lewis, Ashe Magalhaes, Mykel J. Kochenderfer
2016 A* conf
Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs.
AAAI
Philipp Robbel, Frans A. Oliehoek, Mykel J. Kochenderfer
2016 — conf
Factor graph scene distributions for automotive safety analysis.
ITSC
Tim Allan Wheeler, Mykel J. Kochenderfer
2016 J jnl
Ground Delay Program Planning Using Markov Decision Processes.
J. Aerosp. Inf. Syst.
Jonathan Cox, Mykel J. Kochenderfer
2016 J jnl
Optimized and Trusted Collision Avoidance for Unmanned Aerial Vehicles using Approximate Dynamic Programming (Technical Report).
CoRR
Zachary N. Sunberg, Mykel J. Kochenderfer, Marco Pavone
2016 A* conf
Optimized and trusted collision avoidance for unmanned aerial vehicles using approximate dynamic programming.
ICRA
Zachary N. Sunberg, Mykel J. Kochenderfer, Marco Pavone
2016 A* conf
Target Surveillance in Adversarial Environments Using POMDPs.
AAAI
Maxim Egorov, Mykel J. Kochenderfer, Jaak J. Uudmae
2015 — conf
A Probabilistic Framework for Microscopic Traffic Propagation.
ITSC
Tim Allan Wheeler, Philipp Robbel, Mykel J. Kochenderfer
2015 J jnl
Bayesian Preference Elicitation for Multiobjective Engineering Design Optimization.
J. Aerosp. Inf. Syst.
John R. Lepird, Michael P. Owen, Mykel J. Kochenderfer
2015 — conf
Continous time autonomous air traffic control for non-towered airports.
CDC
Zouhair Mahboubi, Mykel J. Kochenderfer
2015 — conf
Control of epidemics on graphs.
CDC
Christopher Ho, Mykel J. Kochenderfer, Vineet Mehta, Rajmonda Sulo Caceres
2015 J jnl
Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs (Extended Version).
CoRR
Philipp Robbel, Frans A. Oliehoek, Mykel J. Kochenderfer
2015 — conf
Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs.
AAAI Fall Symposia
Philipp Robbel, Frans A. Oliehoek, Mykel J. Kochenderfer
2015 — conf
Initial Scene Configurations for Highway Traffic Propagation.
ITSC
Tim Allan Wheeler, Mykel J. Kochenderfer, Philipp Robbel
2015 J jnl
Introduction to the Special Issue on Optimal Decision Making in Aerospace Systems.
J. Aerosp. Inf. Syst.
Mykel J. Kochenderfer
2015 J jnl
Optimizing a Collision-Avoidance System for Closely Spaced Parallel Operations.
J. Aerosp. Inf. Syst.
Kyle A. Smith, Adan E. Vela, Mykel J. Kochenderfer, Wesley A. Olson
2014 J jnl
A Comparison of Monte Carlo Tree Search and Mathematical Optimization for Large Scale Dynamic Resource Allocation.
CoRR
Dimitris Bertsimas, J. Daniel Griffith, Vishal Gupta, Mykel J. Kochenderfer, Velibor V. Misic, Robert J. Moss
2014 J jnl
Predicting the behavior of interacting humans by fusing data from multiple sources.
CoRR
Erik J. Schlicht, Ritchie Lee, David H. Wolpert, Mykel J. Kochenderfer, Brendan D. Tracey
2013 B conf
Compression of Optimal Value Functions for Markov Decision Processes.
DCC
Mykel J. Kochenderfer, Nicholas Monath
2013 — conf
Decentralized control of partially observable Markov decision processes.
CDC
Christopher Amato, Girish Chowdhary, Alborz Geramifard, N. Kemal Ure, Mykel J. Kochenderfer
2012 J jnl
Predicting the behavior of interacting humans by fusing data from multiple sources
CoRR
Erik J. Schlicht, Ritchie Lee, David H. Wolpert, Mykel J. Kochenderfer, Brendan D. Tracey
2012 A conf
Predicting the behavior of interacting humans by fusing data from multiple sources.
UAI
Erik J. Schlicht, Ritchie Lee, David H. Wolpert, Mykel J. Kochenderfer, Brendan D. Tracey
2011 J jnl
Aircraft Collision Avoidance Using Monte Carlo Real-Time Belief Space Search.
J. Intell. Robotic Syst.
Travis B. Wolf, Mykel J. Kochenderfer
2011 — conf
Analysis of open-loop and closed-loop planning for aircraft collision avoidance.
ITSC
James P. Chryssanthacopoulos, Mykel J. Kochenderfer
2011 — conf
Collision Avoidance Using Partially Controlled Markov Decision Processes.
ICAART (Revised Selected Papers)
Mykel J. Kochenderfer, James P. Chryssanthacopoulos
2011 C conf
Collision avoidance system optimization with probabilistic pilot response models.
ACC
James P. Chryssanthacopoulos, Mykel J. Kochenderfer
2011 — conf
Partially-controlled Markov Decision Processes for Collision Avoidance Systems.
ICAART (1)
Mykel J. Kochenderfer, James P. Chryssanthacopoulos
2011 — conf
Unmanned Aircraft Collision Avoidance using Continuous-State POMDPs.
Robotics: Science and Systems
Haoyu Bai, David Hsu, Mykel J. Kochenderfer, Wee Sun Lee
2010 — conf
A decision-theoretic approach to developing robust collision avoidance logic.
ITSC
Mykel J. Kochenderfer, James P. Chryssanthacopoulos
2006 — —
Adaptive modelling and planning for learning intelligent behaviour.
Mykel J. Kochenderfer
2005 A* conf
Adaptive Modeling and Planning for Reactive Agents.
AAAI
Mykel J. Kochenderfer
2004 A* conf
Common Sense Data Acquisition for Indoor Mobile Robots.
AAAI
Rakesh Gupta, Mykel J. Kochenderfer
2003 B conf
Evolving Hierarchical and Recursive Teleo-reactive Programs through Genetic Programming.
EuroGP
Mykel J. Kochenderfer