David Fridovich-Keil

164 papers A* 14A 5C 7Misc 2Journal 116Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Multi-Fidelity Control Variate Approach for Policy Gradient Estimation.
Trans. Mach. Learn. Res.
Xinjie Liu, Cyrus Neary, Kushagra Gupta, Wesley A. Suttle, Christian Ellis, Ufuk Topcu, David Fridovich-Keil
2026 J jnl
Bayesian Inverse Games with High-Dimensional Multi-Modal Observations.
CoRR
Yash Jain, Xinjie Liu, Lasse Peters, David Fridovich-Keil, Ufuk Topcu
2026 J jnl
Breaking Exponential Complexity in Games of Ordered Preference: A Tractable Reformulation.
CoRR
Dong Ho Lee, Jingqi Li, Lasse Peters, Georgios Bakirtzis, David Fridovich-Keil
2026 J jnl
Chance-Constrained Correlated Equilibria for Robust Noncooperative Coordination.
CoRR
Jaehan Im, Ufuk Topcu, David Fridovich-Keil
2026 J jnl
Efficiently Solving Mixed-Hierarchy Games with Quasi-Policy Approximations.
CoRR
Hamzah Khan, Dong Ho Lee, Jingqi Li, Tianyu Qiu, Christian Ellis, Jesse Milzman, Wesley Suttle, David Fridovich-Keil
2026 J jnl
Game-Theoretic Autonomous Driving: A Graphs of Convex Sets Approach.
CoRR
Nikolaj Käfer, Ahmed Khalil, Edward Huynh, Efstathios Bakolas, David Fridovich-Keil
2026 J jnl
Generalized Information Gathering Under Dynamics Uncertainty.
CoRR
Fernando Palafox, Jingqi Li, Jesse Milzman, David Fridovich-Keil
2026 J jnl
Interleaved Information Structures in Dynamic Games: A General Framework with Application to the Linear-Quadratic Case.
CoRR
Janani S. K, Kushagra Gupta, Ufuk Topcu, David Fridovich-Keil
2026 J jnl
Linear-Quadratic Gaussian Games with Distributed Sparse Estimation.
CoRR
Tianyu Qiu, Filippos Fotiadis, Xinjie Liu, Christian Ellis, Jesse Milzman, Wesley Suttle, Ufuk Topcu, David Fridovich-Keil
2026 J jnl
Noncooperative Virtual Queue Coordination via Uncertainty-Aware Correlated Equilibria.
CoRR
Jaehan Im, David Fridovich-Keil, Ufuk Topcu
2026 J jnl
Rate-Distortion Analysis of Optically Passive Vision Compression.
CoRR
Ronald Ogden, David Fridovich-Keil, Takashi Tanaka
2026 J jnl
Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation.
CoRR
Jacob Levy, Tyler Westenbroek, Kevin Huang, Fernando Palafox, Patrick Yin, Shayegan Omidshafiei, Dong-Ki Kim, Abhishek Gupta, David Fridovich-Keil
2026 J jnl
When Should Agents Coordinate in Differentiable Sequential Decision Problems?
CoRR
Caleb Probine, Su Ann Low, David Fridovich-Keil, Ufuk Topcu
2026 J jnl
When Should a Leader Act Suboptimally? The Role of Inferability in Repeated Stackelberg Games.
IEEE Trans. Autom. Control.
Mustafa O. Karabag, Sophia Smith, Negar Mehr, David Fridovich-Keil, Ufuk Topcu
2025 J jnl
A Convex Formulation of Game-Theoretic Hierarchical Routing.
IEEE Control. Syst. Lett.
Dong Ho Lee, Kaitlyn Donnel, Max Z. Li, David Fridovich-Keil
2025 J jnl
A Convex Formulation of Game-theoretic Hierarchical Routing.
CoRR
Dong Ho Lee, Kaitlyn Donnel, Max Z. Li, David Fridovich-Keil
2025 J jnl
A Framework for Finding Local Saddle Points in Two-Player Zero-Sum Black-Box Games.
CoRR
Shubhankar Agarwal, Hamzah Khan, Sandeep P. Chinchali, David Fridovich-Keil
2025 J jnl
A Framework for Finding Local Saddle Points in Two-Player Zero-Sum Black-Box Games.
Trans. Mach. Learn. Res.
Shubhankar Agarwal, Hamzah Khan, Sandeep P. Chinchali, David Fridovich-Keil
2025 J jnl
Act Natural! Extending Naturalistic Projection to Multimodal Behavior Scenarios.
CoRR
Hamzah Khan, David Fridovich-Keil
2025 C conf
Active Inverse Learning in Stackelberg Trajectory Games.
ACC
William Ward, Yue Yu, Jacob Levy, Negar Mehr, David Fridovich-Keil, Ufuk Topcu
2025 — conf
Approximate Solutions to Games of Ordered Preference.
ITSC
Pau de las Heras Molins, Eric Roy-Almonacid, Dong Ho Lee, Lasse Peters, David Fridovich-Keil, Georgios Bakirtzis
2025 J jnl
Approximate solutions to games of ordered preference.
CoRR
Pau de las Heras Molins, Eric Roy-Almonacid, Dong Ho Lee, Lasse Peters, David Fridovich-Keil, Georgios Bakirtzis
2025 J jnl
Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles.
CoRR
Kushagra Gupta, Surya Murthy, Mustafa O. Karabag, Ufuk Topcu, David Fridovich-Keil
2025 J jnl
Data-Driven Modeling and Correction of Vehicle Dynamics.
CoRR
Nguyen Ly, Caroline Tatsuoka, Jai Nagaraj, Jacob Levy, Fernando Palafox, David Fridovich-Keil, Hannah Lu
2025 J jnl
Deceptive Exploration in Multi-armed Bandits.
CoRR
I. Arda Vurankaya, Mustafa O. Karabag, Wesley A. Suttle, Jesse Milzman, David Fridovich-Keil, Ufuk Topcu
2025 C conf
Decomposing Control Lyapunov Functions for Efficient Reinforcement Learning.
ACC
Antonio López, David Fridovich-Keil
2025 — conf
Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations.
L4DC
Cevahir Köprülü, Po-han Li, Tianyu Qiu, Ruihan Zhao, Tyler Westenbroek, David Fridovich-Keil, Sandeep Chinchali, Ufuk Topcu
2025 J jnl
DiBS-MTL: Transformation-Invariant Multitask Learning with Direction Oracles.
CoRR
Surya Murthy, Kushagra Gupta, Mustafa O. Karabag, David Fridovich-Keil, Ufuk Topcu
2025 J jnl
Fixing That Free Lunch: When, Where, and Why Synthetic Data Fails in Model-Based Policy Optimization.
CoRR
Brett Barkley, David Fridovich-Keil
2025 J jnl
Game-theoretic Decentralized Coordination for Airspace Sector Overload Mitigation.
CoRR
Jaehan Im, Daniel Delahaye, David Fridovich-Keil, Ufuk Topcu
2025 — conf
Gators: a Game-Theoretic Tool for Optimal Robot Selection and Design in Surface Coverage Applications.
UR
Steven Swanbeck, Daniel I. Meza, Jared Rosenbaum, David Fridovich-Keil, Mitch Pryor
2025 J jnl
Inferring Foresightedness in Dynamic Noncooperative Games.
IEEE Robotics Autom. Lett.
Cade Armstrong, Ryan Park, Xinjie Liu, Kushagra Gupta, David Fridovich-Keil
2025 J jnl
Iterative Negotiation and Oversight: A Case Study in Decentralized Air Traffic Management.
CoRR
Jaehan Im, John-Paul Clarke, Ufuk Topcu, David Fridovich-Keil
2025 C conf
Learning responsibility allocations for multi-agent interactions: A differentiable optimization approach with control barrier functions.
ACC
Isaac Remy, David Fridovich-Keil, Karen Leung
2025 J jnl
Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving.
CoRR
Jacob Levy, Jason Gibson, Bogdan I. Vlahov, Erica Tevere, Evangelos A. Theodorou, David Fridovich-Keil, Patrick Spieler
2025 J jnl
More Information Is Not Always Better: Connections Between Zero-Sum Local Nash Equilibria in Feedback and Open-Loop Information Patterns.
IEEE Control. Syst. Lett.
Kushagra Gupta, Ross E. Allen, David Fridovich-Keil, Ufuk Topcu
2025 J jnl
More Information is Not Always Better: Connections between Zero-Sum Local Nash Equilibria in Feedback and Open-Loop Information Patterns.
CoRR
Kushagra Gupta, Ross E. Allen, David Fridovich-Keil, Ufuk Topcu
2025 J jnl
Multi-Fidelity Policy Gradient Algorithms.
CoRR
Xinjie Liu, Cyrus Neary, Kushagra Gupta, Christian Ellis, Ufuk Topcu, David Fridovich-Keil
2025 J jnl
Noncooperative Equilibrium Selection via a Trading-based Auction.
CoRR
Jaehan Im, Filippos Fotiadis, Daniel Delahaye, Ufuk Topcu, David Fridovich-Keil
2025 J jnl
PSN Game: Game-theoretic Planning via a Player Selection Network.
CoRR
Tianyu Qiu, Eric Ouano, Fernando Palafox, Christian Ellis, David Fridovich-Keil
2025 A conf
Policies with Sparse Inter-Agent Dependencies in Dynamic Games: A Dynamic Programming Approach.
AAMAS
Xinjie Liu, Jingqi Li, Filippos Fotiadis, Mustafa O. Karabag, Jesse Milzman, David Fridovich-Keil, Ufuk Topcu
2025 J jnl
Real-Time Privacy Preservation for Robot Visual Perception.
CoRR
Minkyu Choi, Yunhao Yang, Neel P. Bhatt, Kushagra Gupta, Sahil Shah, Aditya Rai, David Fridovich-Keil, Ufuk Topcu, Sandeep P. Chinchali
2025 J jnl
Real-Time Privacy Preservation for Robot Visual Perception.
Trans. Mach. Learn. Res.
Minkyu Choi, Yunhao Yang, Neel P. Bhatt, Kushagra Gupta, Sahil Shah, Aditya Rai, David Fridovich-Keil, Ufuk Topcu, Sandeep P. Chinchali
2025 J jnl
Relationship design for socially-aware behavior in static games.
Auton. Agents Multi Agent Syst.
Shenghui Chen, Yigit E. Bayiz, David Fridovich-Keil, Ufuk Topcu
2025 J jnl
SCOPED: Score-Curvature Out-of-distribution Proximity Evaluator for Diffusion.
CoRR
Brett Barkley, Preston Culbertson, David Fridovich-Keil
2025 A conf
SHIELD: Safety on Humanoids via CBFs In Expectation on Learned Dynamics.
IROS
Lizhi Yang, Blake Werner, Ryan K. Cosner, David Fridovich-Keil, Preston Culbertson, Aaron D. Ames
2025 J jnl
SHIELD: Safety on Humanoids via CBFs In Expectation on Learned Dynamics.
CoRR
Lizhi Yang, Blake Werner, Ryan K. Cosner, David Fridovich-Keil, Preston Culbertson, Aaron D. Ames
2025 A conf
Smooth Information Gathering in Two-Player Noncooperative Games.
AAMAS
Fernando Palafox, Jesse Milzman, Dong Ho Lee, Ryan Park, David Fridovich-Keil
2025 A* conf
Stealing That Free Lunch: Exposing the Limits of Dyna-Style Reinforcement Learning.
ICML
Brett Barkley, David Fridovich-Keil
2025 C conf
Symbolic Regression on Sparse and Noisy Data with Gaussian Processes.
ACC
Junette Hsin, Shubhankar Agarwal, Adam J. Thorpe, Luis Sentis, David Fridovich-Keil
2025 J jnl
UNCAP: Uncertainty-Guided Planning Using Natural Language Communication for Cooperative Autonomous Vehicles.
CoRR
Neel P. Bhatt, Po-han Li, Kushagra Gupta, Rohan Siva, Daniel Milan, Alexander T. Hogue, Sandeep P. Chinchali, David Fridovich-Keil, Zhangyang Wang, Ufuk Topcu
2025 J jnl
What Do Agents Think Others Would Do? Level-2 Inverse Games for Inferring Agents' Estimates of Others' Objectives.
CoRR
Hamzah Khan, Jingqi Li, David Fridovich-Keil
2025 J jnl
You Can't Always Get What You Want: Games of Ordered Preference.
IEEE Robotics Autom. Lett.
Dong Ho Lee, Lasse Peters, David Fridovich-Keil
2024 J jnl
Act Natural! Projecting Autonomous System Trajectories Into Naturalistic Behavior Sets.
CoRR
Hamzah Khan, Adam J. Thorpe, David Fridovich-Keil
2024 — conf
An investigation of time reversal symmetry in reinforcement learning.
L4DC
Brett Barkley, Amy Zhang, David Fridovich-Keil
2024 J jnl
Auto-Encoding Bayesian Inverse Games.
CoRR
Xinjie Liu, Lasse Peters, Javier Alonso-Mora, Ufuk Topcu, David Fridovich-Keil
2024 J jnl
Contingency Games for Multi-Agent Interaction.
IEEE Robotics Autom. Lett.
Lasse Peters, Andrea Bajcsy, Chih-Yuan Chiu, David Fridovich-Keil, Forrest Laine, Laura Ferranti, Javier Alonso-Mora
2024 J jnl
Coordination in Noncooperative Multiplayer Matrix Games via Reduced Rank Correlated Equilibria.
CoRR
Jaehan Im, Yue Yu, David Fridovich-Keil, Ufuk Topcu
2024 J jnl
Coordination in Noncooperative Multiplayer Matrix Games via Reduced Rank Correlated Equilibria.
IEEE Control. Syst. Lett.
Jaehan Im, Yue Yu, David Fridovich-Keil, Ufuk Topcu
2024 J jnl
Decomposing Control Lyapunov Functions for Efficient Reinforcement Learning.
CoRR
Antonio López, David Fridovich-Keil
2024 J jnl
Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations.
CoRR
Cevahir Köprülü, Po-han Li, Tianyu Qiu, Ruihan Zhao, Tyler Westenbroek, David Fridovich-Keil, Sandeep Chinchali, Ufuk Topcu
2024 C conf
Encouraging Inferable Behavior for Autonomy: Repeated Bimatrix Stackelberg Games with Observations.
ACC
Mustafa O. Karabag, Sophia Smith, David Fridovich-Keil, Ufuk Topcu
2024 J jnl
Hierarchical Control for Cooperative Teams in Competitive Autonomous Racing.
IEEE Trans. Intell. Veh.
Rishabh Saumil Thakkar, Aryaman Singh Samyal, David Fridovich-Keil, Zhe Xu, Ufuk Topcu
2024 J jnl
Hierarchical Control for Head-to-Head Autonomous Racing.
Field Robotics
Rishabh Saumil Thakkar, Aryaman Singh Samyal, David Fridovich-Keil, Zhe Xu, Ufuk Topcu
2024 J jnl
Improving DeFi Mechanisms with Dynamic Games and Optimal Control: A Case Study in Stablecoins.
CoRR
Nicholas Strohmeyer, Sriram Vishwanath, David Fridovich-Keil
2024 J jnl
Inferring Occluded Agent Behavior in Dynamic Games From Noise Corrupted Observations.
IEEE Robotics Autom. Lett.
Tianyu Qiu, David Fridovich-Keil
2024 J jnl
Inferring Short-Sightedness in Dynamic Noncooperative Games.
CoRR
Cade Armstrong, Ryan Park, Xinjie Liu, Kushagra Gupta, David Fridovich-Keil
2024 J jnl
Leadership Inference for Multi-Agent Interactions.
IEEE Robotics Autom. Lett.
Hamzah Khan, David Fridovich-Keil
2024 J jnl
Learning responsibility allocations for multi-agent interactions: A differentiable optimization approach with control barrier functions.
CoRR
Isaac Remy, David Fridovich-Keil, Karen Leung
2024 Misc conf
Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics Models.
CoRL
Jacob Levy, Tyler Westenbroek, David Fridovich-Keil
2024 J jnl
Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics Models.
CoRR
Jacob Levy, Tyler Westenbroek, David Fridovich-Keil
2024 J jnl
Policies with Sparse Inter-Agent Dependencies in Dynamic Games: A Dynamic Programming Approach.
CoRR
Xinjie Liu, Jingqi Li, Filippos Fotiadis, Mustafa O. Karabag, Jesse Milzman, David Fridovich-Keil, Ufuk Topcu
2024 J jnl
Second-Order Algorithms for Finding Local Nash Equilibria in Zero-Sum Games.
CoRR
Kushagra Gupta, Xinjie Liu, Ufuk Topcu, David Fridovich-Keil
2024 — conf
Sensing Resource Allocation Against Data-Poisoning Attacks in Traffic Routing.
CDC
Yue Yu, Adam J. Thorpe, Jesse Milzman, David Fridovich-Keil, Ufuk Topcu
2024 J jnl
Smooth Information Gathering in Two-Player Noncooperative Games.
CoRR
Fernando Palafox, Jesse Milzman, Dong Ho Lee, Ryan Park, David Fridovich-Keil
2024 J jnl
Stealing That Free Lunch: Exposing the Limits of Dyna-Style Reinforcement Learning.
CoRR
Brett Barkley, David Fridovich-Keil
2024 J jnl
The Computation of Approximate Feedback Stackelberg Equilibria in Multiplayer Nonlinear Constrained Dynamic Games.
SIAM J. Optim.
Jingqi Li, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
2024 J jnl
The computation of approximate feedback Stackelberg equilibria in multi-player nonlinear constrained dynamic games.
CoRR
Jingqi Li, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
2024 J jnl
You Can't Always Get What You Want : Games of Ordered Preference.
CoRR
Dong Ho Lee, Lasse Peters, David Fridovich-Keil
2023 J jnl
Active Inverse Learning in Stackelberg Trajectory Games.
CoRR
Yue Yu, Jacob Levy, Negar Mehr, David Fridovich-Keil, Ufuk Topcu
2023 J jnl
An Investigation of Time Reversal Symmetry in Reinforcement Learning.
CoRR
Brett Barkley, Amy Zhang, David Fridovich-Keil
2023 — conf
Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure.
ITSC
Jiankai Sun, Shreyas Kousik, David Fridovich-Keil, Mac Schwager
2023 J jnl
Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure.
CoRR
Jiankai Sun, Shreyas Kousik, David Fridovich-Keil, Mac Schwager
2023 J jnl
Contingency Games for Multi-Agent Interaction.
CoRR
Lasse Peters, Andrea Bajcsy, Chih-Yuan Chiu, David Fridovich-Keil, Forrest Laine, Laura Ferranti, Javier Alonso-Mora
2023 C conf
Cost Design in Atomic Routing Games.
ACC
Yue Yu, Shenghui Chen, David Fridovich-Keil, Ufuk Topcu
2023 A conf
Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories.
AAMAS
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
2023 J jnl
Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories.
CoRR
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
2023 Misc conf
Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models.
CoRL
Tyler Westenbroek, Jacob Levy, David Fridovich-Keil
2023 J jnl
Encouraging Inferable Behavior for Autonomy: Repeated Bimatrix Stackelberg Games with Observations.
CoRR
Mustafa O. Karabag, Sophia Smith, David Fridovich-Keil, Ufuk Topcu
2023 J jnl
Feedback is All You Need: Real-World Reinforcement Learning with Approximate Physics-Based Models.
CoRR
Tyler Westenbroek, Jacob Levy, David Fridovich-Keil
2023 J jnl
GPSINDy: Data-Driven Discovery of Equations of Motion.
CoRR
Junette Hsin, Shubhankar Agarwal, Adam J. Thorpe, David Fridovich-Keil
2023 J jnl
Game-theoretic Occlusion-Aware Motion Planning: an Efficient Hybrid-Information Approach.
CoRR
Kushagra Gupta, David Fridovich-Keil
2023 C conf
GrAVITree: Graph-based Approximate Value Function In a Tree.
ACC
Patrick H. Washington, David Fridovich-Keil, Mac Schwager
2023 J jnl
GrAVITree: Graph-based Approximate Value Function In a Tree.
CoRR
Patrick H. Washington, David Fridovich-Keil, Mac Schwager
2023 J jnl
Identifying Occluded Agents in Dynamic Games with Noise-Corrupted Observations.
CoRR
Tianyu Qiu, David Fridovich-Keil
2023 J jnl
Inverse Matrix Games With Unique Quantal Response Equilibrium.
IEEE Control. Syst. Lett.
Yue Yu, Jonathan Salfity, David Fridovich-Keil, Ufuk Topcu
2023 J jnl
Leadership Inference for Multi-Agent Interactions.
CoRR
Hamzah Khan, David Fridovich-Keil
2023 J jnl
Learning Hyperplanes for Multi-Agent Collision Avoidance in Space.
CoRR
Fernando Palafox, Yue Yu, David Fridovich-Keil
2023 J jnl
Learning Players' Objectives in Continuous Dynamic Games from Partial State Observations.
CoRR
Lasse Peters, Vicenc Rubies-Royo, Claire J. Tomlin, Laura Ferranti, Javier Alonso-Mora, Cyrill Stachniss, David Fridovich-Keil
2023 J jnl
Online and offline learning of player objectives from partial observations in dynamic games.
Int. J. Robotics Res.
Lasse Peters, Vicenc Rubies-Royo, Claire J. Tomlin, Laura Ferranti, Javier Alonso-Mora, Cyrill Stachniss, David Fridovich-Keil
2023 — conf
Risk-Minimizing Two-Player Zero-Sum Stochastic Differential Game via Path Integral Control.
CDC
Apurva Patil, Yujing Zhou, David Fridovich-Keil, Takashi Tanaka
2023 J jnl
Risk-Minimizing Two-Player Zero-Sum Stochastic Differential Game via Path Integral Control.
CoRR
Apurva Patil, Yujing Zhou, David Fridovich-Keil, Takashi Tanaka
2023 A* conf
Robust Forecasting for Robotic Control: A Game-Theoretic Approach.
ICRA
Shubhankar Agarwal, David Fridovich-Keil, Sandeep P. Chinchali
2023 — conf
Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games.
CDC
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Fernando Palafox, Mustafa O. Karabag, Javier Alonso-Mora, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
2023 J jnl
Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games.
CoRR
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Fernando Palafox, Mustafa O. Karabag, Javier Alonso-Mora, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
2023 — conf
Soft-Bellman Equilibrium in Affine Markov Games: Forward Solutions and Inverse Learning.
CDC
Shenghui Chen, Yue Yu, David Fridovich-Keil, Ufuk Topcu
2023 J jnl
Soft-Bellman Equilibrium in Affine Markov Games: Forward Solutions and Inverse Learning.
CoRR
Shenghui Chen, Yue Yu, David Fridovich-Keil, Ufuk Topcu
2023 J jnl
The Computation of Approximate Generalized Feedback Nash Equilibria.
SIAM J. Optim.
Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin
2022 — conf
Alternating Direction Method of Multipliers for Decomposable Saddle-Point Problems.
Allerton
Mustafa O. Karabag, David Fridovich-Keil, Ufuk Topcu
2022 J jnl
Alternating Direction Method of Multipliers for Decomposable Saddle-Point Problems.
CoRR
Mustafa O. Karabag, David Fridovich-Keil, Ufuk Topcu
2022 A* conf
Back to the Future: Efficient, Time-Consistent Solutions in Reach-Avoid Games.
ICRA
Dennis R. Anthony, Duy Phuong Nguyen, David Fridovich-Keil, Jaime F. Fisac
2022 J jnl
Cost Design in Atomic Routing Games.
CoRR
Yue Yu, Shenghui Chen, David Fridovich-Keil, Ufuk Topcu
2022 — conf
GTP-SLAM: Game-Theoretic Priors for Simultaneous Localization and Mapping in Multi-Agent Scenarios.
CDC
Chih-Yuan Chiu, David Fridovich-Keil
2022 J jnl
GTP-SLAM: Game-Theoretic Priors for Simultaneous Localization and Mapping in Multi-Agent Scenarios.
CoRR
Chih-Yuan Chiu, David Fridovich-Keil
2022 J jnl
Hierarchical Control for Cooperative Teams in Competitive Autonomous Racing.
CoRR
Rishabh Saumil Thakkar, Aryaman Singh Samyal, David Fridovich-Keil, Zhe Xu, Ufuk Topcu
2022 J jnl
Hierarchical Control for Multi-Agent Autonomous Racing.
CoRR
Rishabh Saumil Thakkar, Aryaman Singh Samyal, David Fridovich-Keil, Zhe Xu, Ufuk Topcu
2022 J jnl
Inverse Matrix Games with Unique Nash Equilibrium.
CoRR
Yue Yu, Jonathan Salfity, David Fridovich-Keil, Ufuk Topcu
2022 — conf
Learning Mixed Strategies in Trajectory Games.
Robotics: Science and Systems
Lasse Peters, David Fridovich-Keil, Laura Ferranti, Cyrill Stachniss, Javier Alonso-Mora, Forrest Laine
2022 J jnl
Learning Mixed Strategies in Trajectory Games.
CoRR
Lasse Peters, David Fridovich-Keil, Laura Ferranti, Cyrill Stachniss, Javier Alonso-Mora, Forrest Laine
2022 J jnl
Relationship Design for Socially Desirable Behavior in Static Games.
CoRR
Shenghui Chen, Yigit E. Bayiz, David Fridovich-Keil, Yue Yu, Ufuk Topcu
2022 J jnl
Robust Forecasting for Robotic Control: A Game-Theoretic Approach.
CoRR
Shubhankar Agarwal, David Fridovich-Keil, Sandeep P. Chinchali
2022 — conf
Self-Supervised Traffic Advisors: Distributed, Multi-view Traffic Prediction for Smart Cities.
ITSC
Jiankai Sun, Shreyas Kousik, David Fridovich-Keil, Mac Schwager
2022 J jnl
Self-Supervised Traffic Advisors: Distributed, Multi-view Traffic Prediction for Smart Cities.
CoRR
Jiankai Sun, Shreyas Kousik, David Fridovich-Keil, Mac Schwager
2021 J jnl
A Successive-Elimination Approach to Adaptive Robotic Source Seeking.
IEEE Trans. Robotics
Esther Rolf, David Fridovich-Keil, Max Simchowitz, Benjamin Recht, Claire J. Tomlin
2021 A* conf
Approximate Solutions to a Class of Reachability Games.
ICRA
David Fridovich-Keil, Claire J. Tomlin
2021 — conf
Augmented Lagrangian Method for Instantaneously Constrained Reinforcement Learning Problems.
CDC
Jingqi Li, David Fridovich-Keil, Somayeh Sojoudi, Claire J. Tomlin
2021 J jnl
Back to the Future: Efficient, Time-Consistent Solutions in Reach-Avoid Games.
CoRR
Dennis R. Anthony, David Fridovich-Keil, Jaime F. Fisac
2021 A* conf
Encoding Defensive Driving as a Dynamic Nash Game.
ICRA
Chih-Yuan Chiu, David Fridovich-Keil, Claire J. Tomlin
2021 — conf
Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations.
Robotics: Science and Systems
Lasse Peters, David Fridovich-Keil, Vicenc Rubies-Royo, Claire J. Tomlin, Cyrill Stachniss
2021 J jnl
Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations.
CoRR
Lasse Peters, David Fridovich-Keil, Vicenc Rubies-Royo, Claire J. Tomlin, Cyrill Stachniss
2021 A* conf
Multi-Hypothesis Interactions in Game-Theoretic Motion Planning.
ICRA
Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin
2021 J jnl
The Computation of Approximate Generalized Feedback Nash Equilibria.
CoRR
Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin
2020 — conf
Adaptive Control for Linearizable Systems Using On-Policy Reinforcement Learning.
CDC
Tyler Westenbroek, Eric Mazumdar, David Fridovich-Keil, Valmik Prabhu, Claire J. Tomlin, S. Shankar Sastry
2020 A* conf
An Iterative Quadratic Method for General-Sum Differential Games with Feedback Linearizable Dynamics.
ICRA
David Fridovich-Keil, Vicenc Rubies-Royo, Claire J. Tomlin
2020 J jnl
Approximate Solutions to a Class of Reachability Games.
CoRR
David Fridovich-Keil, Claire J. Tomlin
2020 J jnl
Confidence-aware motion prediction for real-time collision avoidance
Int. J. Robotics Res.
David Fridovich-Keil, Andrea Bajcsy, Jaime F. Fisac, Sylvia L. Herbert, Steven Wang, Anca D. Dragan, Claire J. Tomlin
2020 A* conf
Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games.
ICRA
David Fridovich-Keil, Ellis Ratner, Lasse Peters, Anca D. Dragan, Claire J. Tomlin
2020 J jnl
Encoding Defensive Driving as a Dynamic Nash Game.
CoRR
Chih-Yuan Chiu, David Fridovich-Keil, Claire J. Tomlin
2020 A* conf
Feedback Linearization for Uncertain Systems via Reinforcement Learning.
ICRA
Tyler Westenbroek, David Fridovich-Keil, Eric Mazumdar, Shreyas Arora, Valmik Prabhu, S. Shankar Sastry, Claire J. Tomlin
2020 A conf
Inference-Based Strategy Alignment for General-Sum Differential Games.
AAMAS
Lasse Peters, David Fridovich-Keil, Claire J. Tomlin, Zachary N. Sunberg
2020 J jnl
Inference-Based Strategy Alignment for General-Sum Differential Games.
CoRR
Lasse Peters, David Fridovich-Keil, Claire J. Tomlin, Zachary N. Sunberg
2020 J jnl
Multi-Hypothesis Interactions in Game-Theoretic Motion Planning.
CoRR
Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin
2020 — —
Practical Algorithms for Reliable Autonomy
David Fridovich-Keil
2020 J jnl
Technical Report: Adaptive Control for Linearizable Systems Using On-Policy Reinforcement Learning.
CoRR
Tyler Westenbroek, Eric Mazumdar, David Fridovich-Keil, Valmik Prabhu, Claire J. Tomlin, S. Shankar Sastry
2020 J jnl
Toward Distributed Energy Services: Decentralizing Optimal Power Flow With Machine Learning.
IEEE Trans. Smart Grid
Roel Dobbe, Oscar Sondermeijer, David Fridovich-Keil, Daniel Arnold, Duncan S. Callaway, Claire J. Tomlin
2019 A* conf
A Classification-based Approach for Approximate Reachability.
ICRA
Vicenc Rubies-Royo, David Fridovich-Keil, Sylvia L. Herbert, Claire J. Tomlin
2019 A* conf
A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance.
ICRA
Andrea Bajcsy, Sylvia L. Herbert, David Fridovich-Keil, Jaime F. Fisac, Sampada Deglurkar, Anca D. Dragan, Claire J. Tomlin
2019 J jnl
An Iterative Quadratic Method for General-Sum Differential Games with Feedback Linearizable Dynamics.
CoRR
David Fridovich-Keil, Vicenc Rubies-Royo, Claire J. Tomlin
2019 J jnl
Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games.
CoRR
David Fridovich-Keil, Ellis Ratner, Anca D. Dragan, Claire J. Tomlin
2019 J jnl
Feedback Linearization for Unknown Systems via Reinforcement Learning.
CoRR
Tyler Westenbroek, David Fridovich-Keil, Eric Mazumdar, Shreyas Arora, Valmik Prabhu, S. Shankar Sastry, Claire J. Tomlin
2019 A* conf
Safely Probabilistically Complete Real-Time Planning and Exploration in Unknown Environments.
ICRA
David Fridovich-Keil, Jaime F. Fisac, Claire J. Tomlin
2018 J jnl
A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance.
CoRR
Andrea Bajcsy, Sylvia L. Herbert, David Fridovich-Keil, Jaime F. Fisac, Sampada Deglurkar, Anca D. Dragan, Claire J. Tomlin
2018 J jnl
A Successive-Elimination Approach to Adaptive Robotic Sensing.
CoRR
Esther Rolf, David Fridovich-Keil, Max Simchowitz, Benjamin Recht, Claire J. Tomlin
2018 J jnl
Classification-based Approximate Reachability with Guarantees Applied to Safe Trajectory Tracking.
CoRR
Vicenc Rubies-Royo, David Fridovich-Keil, Sylvia L. Herbert, Claire J. Tomlin
2018 J jnl
Data-Driven Decentralized Optimal Power Flow.
CoRR
Roel Dobbe, Oscar Sondermeijer, David Fridovich-Keil, Daniel Arnold, Duncan S. Callaway, Claire J. Tomlin
2018 A* conf
Planning, Fast and Slow: A Framework for Adaptive Real-Time Safe Trajectory Planning.
ICRA
David Fridovich-Keil, Sylvia L. Herbert, Jaime F. Fisac, Sampada Deglurkar, Claire J. Tomlin
2018 — conf
Probabilistically Safe Robot Planning with Confidence-Based Human Predictions.
Robotics: Science and Systems
Jaime F. Fisac, Andrea Bajcsy, Sylvia L. Herbert, David Fridovich-Keil, Steven Wang, Claire J. Tomlin, Anca D. Dragan
2018 J jnl
Probabilistically Safe Robot Planning with Confidence-Based Human Predictions.
CoRR
Jaime F. Fisac, Andrea Bajcsy, Sylvia L. Herbert, David Fridovich-Keil, Steven Wang, Claire J. Tomlin, Anca D. Dragan
2018 J jnl
Safe and Complete Real-Time Planning and Exploration in Unknown Environments.
CoRR
David Fridovich-Keil, Jaime F. Fisac, Claire J. Tomlin
2017 — conf
A model predictive control approach to flow pacing for TCP.
Allerton
David Fridovich-Keil, Nathan Hanford, Margaret P. Chapman, Claire J. Tomlin, Matthew K. Farrens, Dipak Ghosal
2017 A* conf
AtomMap: A probabilistic amorphous 3D map representation for robotics and surface reconstruction.
ICRA
David Fridovich-Keil, Erik Nelson, Avideh Zakhor
2017 — conf
Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach.
NIPS
Roel Dobbe, David Fridovich-Keil, Claire J. Tomlin
2017 J jnl
Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach.
CoRR
Roel Dobbe, David Fridovich-Keil, Claire J. Tomlin
2017 J jnl
Planning, Fast and Slow: A Framework for Adaptive Real-Time Safe Trajectory Planning.
CoRR
David Fridovich-Keil, Sylvia L. Herbert, Jaime F. Fisac, Sampada Deglurkar, Claire J. Tomlin