Kyle Hollins Wray

59 papers A* 15A 10B 1C 3Journal 25Unranked 5

Year	Rank	Type	Title / Venue / Authors
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	A*	`conf`	Inference-Aware Prompt Optimization for Aligning Black-Box Large Language Models. AAAI Saaduddin Mahmud, Mason Nakamura, Kyle Hollins Wray, Shlomo Zilberstein
2026	J	`jnl`	Multi-Robot Coordination for Planning under Context Uncertainty. CoRR Pulkit Rustagi, Kyle Hollins Wray, Sandhya Saisubramanian
2025	J	`jnl`	Aligning LLMs on a Budget: Inference-Time Alignment with Heuristic Reward Models. CoRR Mason Nakamura, Saaduddin Mahmud, Kyle Hollins Wray, Hamed Zamani, Shlomo Zilberstein
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`	Inference-Aware Prompt Optimization for Aligning Black-Box Large Language Models. CoRR Saaduddin Mahmud, Mason Nakamura, Kyle Hollins Wray, Shlomo Zilberstein
2025	J	`jnl`	Multi-Objective Multi-Agent Path Finding with Lexicographic Cost Preferences. CoRR Pulkit Rustagi, Kyle Hollins Wray, Sandhya Saisubramanian
2025	J	`jnl`	NS-Gym: Open-Source Simulation Environments and Benchmarks for Non-Stationary Markov Decision Processes. CoRR Nathaniel S. Keplinger, Baiting Luo, Iliyas Bektas, Yunuo Zhang, Kyle Hollins Wray, Aron Laszka, Abhishek Dubey, Ayan Mukhopadhyay
2025	A*	`conf`	Rao-Blackwellized POMDP Planning. ICRA Jiho Lee, Nisar R. Ahmed, Kyle Hollins Wray, Zachary Sunberg
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
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`	Decision Making in Non-Stationary Environments with Policy-Augmented Search. AAMAS Ava Pettet, Yunuo Zhang, Baiting Luo, Kyle Hollins Wray, Hendrik Baier, Aron Laszka, Abhishek Dubey, Ayan Mukhopadhyay
2024	J	`jnl`	Decision Making in Non-Stationary Environments with Policy-Augmented Search. CoRR Ava Pettet, Yunuo Zhang, Baiting Luo, Kyle Hollins Wray, Hendrik Baier, Aron Laszka, Abhishek Dubey, Ayan Mukhopadhyay
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`	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`	Rao-Blackwellized POMDP Planning. CoRR Jiho Lee, Nisar R. Ahmed, Kyle Hollins Wray, Zachary N. Sunberg
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`	Watercraft as Overwater Ambulance Exchange Points to Enhance Aeromedical Evacuation. CoRR Mahdi Al-Husseini, Kyle Hollins Wray, Mykel J. Kochenderfer
2023	J	`jnl`	Active teacher selection for reinforcement learning from human feedback. CoRR Rachel Freedman, Justin Svegliato, Kyle Hollins Wray, Stuart Russell
2023	—	`conf`	Banded Controllers for Scalable POMDP Decision-Making. ECC Kenneth Czuprynski, Kyle Hollins Wray
2023	J	`jnl`	Competence-aware systems. Artif. Intell. Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein
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`	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
2022	J	`jnl`	Competence-Aware Path Planning Via Introspective Perception. IEEE Robotics Autom. Lett. Sadegh Rabiee, Connor Basich, Kyle Hollins Wray, Shlomo Zilberstein, Joydeep Biswas
2022	B	`conf`	Heuristic Search for SSPs with Lexicographic Preferences over Multiple Costs. SOCS Shuwa Miura, Kyle Hollins Wray, Shlomo Zilberstein
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	A*	`conf`	Scalable Gradient Ascent for Controllers in Constrained POMDPs. ICRA Kyle Hollins Wray, Kenneth Czuprynski
2021	J	`jnl`	Competence-Aware Path Planning via Introspective Perception. CoRR Sadegh Rabiee, Connor Basich, Kyle Hollins Wray, Shlomo Zilberstein, Joydeep Biswas
2021	C	`conf`	Engine Activation Planning for Series Hybrid Electric Vehicles. IV Kyle Hollins Wray, Richard Lui, Liam Pedersen
2021	A	`conf`	Improving Competence via Iterative State Space Refinement. IROS Connor Basich, Justin Svegliato, Allyson Beach, Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein
2021	—	`conf`	POMDPs for Safe Visibility Reasoning in Autonomous Vehicles. ISR Kyle Hollins Wray, Bernard Lange, Arec L. Jamgochian, Stefan J. Witwicki, Atsuhide Kobashi, Sachin Hagaribommanahalli, David Ilstrup
2021	A*	`conf`	Scalable POMDP Decision-Making Using Circulant Controllers. ICRA Kyle Hollins Wray, Kenneth Czuprynski
2020	—	`conf`	Improving Competence for Reliable Autonomy. AREA@ECAI Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein
2020	A	`conf`	Learning to Optimize Autonomy in Competence-Aware Systems. AAMAS Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein
2020	J	`jnl`	Learning to Optimize Autonomy in Competence-Aware Systems. CoRR Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein
2019	A	`conf`	Belief Space Metareasoning for Exception Recovery. IROS Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein
2019	A*	`conf`	Generalized Controllers in POMDP Decision-Making. ICRA Kyle Hollins Wray, Shlomo Zilberstein
2019	A	`conf`	Planning in Stochastic Environments with Goal Uncertainty. IROS Sandhya Saisubramanian, Kyle Hollins Wray, Luis Enrique Pineda, Shlomo Zilberstein
2019	A	`conf`	Policy Networks: A Framework for Scalable Integration of Multiple Decision-Making Models. AAMAS Kyle Hollins Wray, Shlomo Zilberstein
2019	J	`jnl`	Reports of the 2018 AAAI Fall Symposium. AI Mag. Aaron Adler, Prithviraj Dasgupta, Nick DePalma, Mohammed Eslami, Richard G. Freedman, John E. Laird, Christian Lebiere, Katrin S. Lohan, Ross Mead, Mark Roberts, Paul S. Rosenbloom, Emmanuel Senft, Frank Stein, Tom Williams, Kyle Hollins Wray, Fusun Yaman, Shlomo Zilberstein
2018	A*	`conf`	Integrated Cooperation and Competition in Multi-Agent Decision-Making. AAAI Kyle Hollins Wray, Akshat Kumar, Shlomo Zilberstein
2018	A*	`conf`	Meta-Level Control of Anytime Algorithms with Online Performance Prediction. IJCAI Justin Svegliato, Kyle Hollins Wray, Shlomo Zilberstein
2018	J	`jnl`	Planning in Stochastic Environments with Goal Uncertainty. CoRR Sandhya Saisubramanian, Kyle Hollins Wray, Luis Enrique Pineda, Shlomo Zilberstein
2017	A	`conf`	Approximating reachable belief points in POMDPs. IROS Kyle Hollins Wray, Shlomo Zilberstein
2017	A*	`conf`	Fast SSP Solvers Using Short-Sighted Labeling. AAAI Luis Enrique Pineda, Kyle Hollins Wray, Shlomo Zilberstein
2017	A*	`conf`	Online Decision-Making for Scalable Autonomous Systems. IJCAI Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein
2016	A*	`conf`	A POMDP Formulation of Proactive Learning. AAAI Kyle Hollins Wray, Shlomo Zilberstein
2016	A*	`conf`	Hierarchical Approach to Transfer of Control in Semi-Autonomous Systems. IJCAI Kyle Hollins Wray, Luis Enrique Pineda, Shlomo Zilberstein
2016	A	`conf`	Hierarchical Approach to Transfer of Control in Semi-Autonomous Systems: (Extended Abstract). AAMAS Kyle Hollins Wray, Luis Enrique Pineda, Shlomo Zilberstein
2016	A	`conf`	Log-space harmonic function path planning. IROS Kyle Hollins Wray, Dirk Ruiken, Roderic A. Grupen, Shlomo Zilberstein
2015	—	`conf`	A Parallel Point-Based POMDP Algorithm Leveraging GPUs. AAAI Fall Symposia Kyle Hollins Wray, Shlomo Zilberstein
2015	A*	`conf`	Multi-Objective MDPs with Conditional Lexicographic Reward Preferences. AAAI Kyle Hollins Wray, Shlomo Zilberstein, Abdel-Illah Mouaddib
2015	A*	`conf`	Multi-Objective POMDPs with Lexicographic Reward Preferences. IJCAI Kyle Hollins Wray, Shlomo Zilberstein
2015	—	`conf`	Revisiting Multi-Objective MDPs with Relaxed Lexicographic Preferences. AAAI Fall Symposia Luis Enrique Pineda, Kyle Hollins Wray, Shlomo Zilberstein