Suttle, Wesley A.

8 publications

TMLR 2026 A Multi-Fidelity Control Variate Approach for Policy Gradient Estimation Xinjie Liu, Cyrus Neary, Kushagra Gupta, Wesley A. Suttle, Christian Ellis, Ufuk Topcu, David Fridovich-Keil

ICLR 2025 Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning Wesley A. Suttle, Aamodh Suresh, Carlos Nieto-Granda

NeurIPS 2025 Globally Optimal Policy Gradient Algorithms for Reinforcement Learning with PID Control Policies Vipul Kumar Sharma, Wesley A. Suttle, S Sivaranjani

ICML 2024 PIPER: Primitive-Informed Preference-Based Hierarchical Reinforcement Learning via Hindsight Relabeling Utsav Singh, Wesley A Suttle, Brian M. Sadler, Vinay P. Namboodiri, Amrit Bedi

ICMLW 2024 PIPER: Primitive-Informed Preference-Based Hierarchical Reinforcement Learning via Hindsight Relabeling Utsav Singh, Wesley A. Suttle, Brian M. Sadler, Vinay P. Namboodiri, Amrit Bedi

ICMLW 2024 PIPER: Primitive-Informed Preference-Based Hierarchical Reinforcement Learning via Hindsight Relabeling Utsav Singh, Wesley A. Suttle, Brian M. Sadler, Vinay P. Namboodiri, Amrit Singh Bedi

ICML 2024 Towards Global Optimality for Practical Average Reward Reinforcement Learning Without Mixing Time Oracles Bhrij Patel, Wesley A Suttle, Alec Koppel, Vaneet Aggarwal, Brian M. Sadler, Dinesh Manocha, Amrit Bedi

ICML 2023 Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic Wesley A Suttle, Amrit Bedi, Bhrij Patel, Brian M. Sadler, Alec Koppel, Dinesh Manocha