Wesley A. Suttle

28 papers A* 4A 3B 1Misc 2Journal 17Unranked 1
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
Scalable natural policy gradient for general-sum linear quadratic games with unknown parameters.
Autom.
Mostafa M. Shibl, Wesley A. Suttle, Vijay Gupta
2025 B conf
An Analysis of Plug-in and Bias-corrected Fixed-k Nearest Neighbor Density Functional Estimators.
ISIT
Wesley A. Suttle
2025 A* conf
Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning.
ICLR
Wesley A. Suttle, Aamodh Suresh, Carlos Nieto-Granda
2025 J jnl
Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning.
CoRR
Wesley A. Suttle, Aamodh Suresh, Carlos Nieto-Granda
2025 A conf
Confidence-Controlled Exploration: Efficient Sparse-Reward Policy Learning for Robot Navigation.
IROS
Bhrij Patel, Kasun Weerakoon, Wesley A. Suttle, Alec Koppel, Brian M. Sadler, Tianyi Zhou, Dinesh Manocha, Amrit Singh Bedi
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 J jnl
IMAS
CoRR
Chongyang Shi, Wesley A. Suttle, Michael R. Dorothy, Jie Fu
2025 J jnl
Signal attenuation enables scalable decentralized multi-agent reinforcement learning over networks.
CoRR
Wesley A. Suttle, Vipul K. Sharma, Brian M. Sadler
2025 — conf
Value of Information-based Deceptive Path Planning Under Adversarial Interventions.
CDC
Wesley A. Suttle, Jesse Milzman, Mustafa O. Karabag, Brian M. Sadler, Ufuk Topcu
2025 J jnl
Value of Information-based Deceptive Path Planning Under Adversarial Interventions.
CoRR
Wesley A. Suttle, Jesse Milzman, Mustafa O. Karabag, Brian M. Sadler, Ufuk Topcu
2024 J jnl
AIME: AI System Optimization via Multiple LLM Evaluators.
CoRR
Bhrij Patel, Souradip Chakraborty, Wesley A. Suttle, Mengdi Wang, Amrit Singh Bedi, Dinesh Manocha
2024 A conf
Deceptive Path Planning via Reinforcement Learning with Graph Neural Networks.
AAMAS
Michael Y. Fatemi, Wesley A. Suttle, Brian M. Sadler
2024 J jnl
Deceptive Path Planning via Reinforcement Learning with Graph Neural Networks.
CoRR
Michael Y. Fatemi, Wesley A. Suttle, Brian M. Sadler
2024 J jnl
Global Optimality without Mixing Time Oracles in Average-reward RL via Multi-level Actor-Critic.
CoRR
Bhrij Patel, Wesley A. Suttle, Alec Koppel, Vaneet Aggarwal, Brian M. Sadler, Amrit Singh Bedi, Dinesh Manocha
2024 J jnl
Hierarchical Preference Optimization: Learning to achieve goals via feasible subgoals prediction.
CoRR
Utsav Singh, Souradip Chakraborty, Wesley A. Suttle, Brian M. Sadler, Anit Kumar Sahu, Mubarak Shah, Vinay P. Namboodiri, Amrit Singh Bedi
2024 A conf
LANCAR: Leveraging Language for Context-Aware Robot Locomotion in Unstructured Environments.
IROS
Chak Lam Shek, Xiyang Wu, Wesley A. Suttle, Carl E. Busart, Erin G. Zaroukian, Dinesh Manocha, Pratap Tokekar, Amrit Singh Bedi
2024 J jnl
Occupancy Information Ratio: Infinite-Horizon, Information-Directed, Parameterized Policy Search.
SIAM J. Control. Optim.
Wesley A. Suttle, Alec Koppel, Ji Liu
2024 A* conf
PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling.
ICML
Utsav Singh, Wesley A. Suttle, Brian M. Sadler, Vinay P. Namboodiri, Amrit S. Bedi
2024 J jnl
PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling.
CoRR
Utsav Singh, Wesley A. Suttle, Brian M. Sadler, Vinay P. Namboodiri, Amrit Singh Bedi
2024 J jnl
Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems.
CoRR
Wesley A. Suttle, Vipul K. Sharma, Krishna Chaitanya Kosaraju, S. Sivaranjani, Ji Liu, Vijay Gupta, Brian M. Sadler
2024 A* conf
Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles.
ICML
Bhrij Patel, Wesley A. Suttle, Alec Koppel, Vaneet Aggarwal, Brian M. Sadler, Dinesh Manocha, Amrit S. Bedi
2023 J jnl
Ada-NAV: Adaptive Trajectory-Based Sample Efficient Policy Learning for Robotic Navigation.
CoRR
Bhrij Patel, Kasun Weerakoon, Wesley A. Suttle, Alec Koppel, Brian M. Sadler, Amrit Singh Bedi, Dinesh Manocha
2023 A* conf
Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic.
ICML
Wesley A. Suttle, Amrit S. Bedi, Bhrij Patel, Brian M. Sadler, Alec Koppel, Dinesh Manocha
2023 J jnl
Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic.
CoRR
Wesley A. Suttle, Amrit Singh Bedi, Bhrij Patel, Brian M. Sadler, Alec Koppel, Dinesh Manocha
2023 Misc conf
Information-Directed Policy Search in Sparse-Reward Settings via the Occupancy Information Ratio.
CISS
Wesley A. Suttle, Alec Koppel, Ji Liu
2022 J jnl
Occupancy Information Ratio: Infinite-Horizon, Information-Directed, Parameterized Policy Search.
CoRR
Wesley A. Suttle, Alec Koppel, Ji Liu
2022 Misc conf
Policy Gradient for Ratio Optimization: A Case Study.
CISS
Wesley A. Suttle, Alec Koppel, Ji Liu