A Multi-Agent Off-Policy Actor-Critic Algorithm for Distributed Reinforcement Learning. - Wesley Suttle; Zhuoran Yang; Kaiqing Zhang; Zhaoran Wang 001; Tamer Basar; Ji Liu 001 (CoRR, 2019)

Stochastic Convergence Results for Regularized Actor-Critic Methods. - Wesley Suttle; Zhuoran Yang; Kaiqing Zhang; Ji Liu 001 (CoRR, 2019)

Reinforcement Learning based Distributed Control of Dissipative Networked Systems. - Krishna Chaitanya Kosaraju; Seetharaman Sivaranjani; Wesley Suttle; Vijay Gupta 001; J. Liu (CoRR, 2020)

Reinforcement Learning for Cost-Aware Markov Decision Processes. - Wesley Suttle; Kaiqing Zhang; Zhuoran Yang; Ji Liu 001; David N. Kraemer (ICML, 2021)

Policy Gradient for Ratio Optimization: A Case Study. - Wesley A. Suttle; Alec Koppel; Ji Liu 001 (CISS, 2022)

Reinforcement Learning Based Distributed Control of Dissipative Networked Systems. - Krishna Chaitanya Kosaraju; S. Sivaranjani; Wesley Suttle; Vijay Gupta 001; Ji Liu 001 (IEEE Trans. Control. Netw. Syst., 2022)

Information-Directed Policy Search in Sparse-Reward Settings via the Occupancy Information Ratio. - Wesley A. Suttle; Alec Koppel; Ji Liu 001 (CISS, 2023)

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

Ada-NAV: Adaptive Trajectory-Based Sample Efficient Policy Learning for Robotic Navigation. - Bhrij Patel; Kasun Weerakoon; Wesley A. Suttle; Alec Koppel; Brian M. Sadler; Amrit Singh Bedi; Dinesh Manocha (CoRR, 2023)

Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems. - Wesley Suttle; Vipul Kumar Sharma; Krishna Chaitanya Kosaraju; Seetharaman Sivaranjani; Ji Liu 001; Vijay Gupta 001; Brian M. Sadler (AISTATS, 2024)

Deceptive Path Planning via Reinforcement Learning with Graph Neural Networks. - Michael Y. Fatemi; Wesley A. Suttle; Brian M. Sadler (AAMAS, 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 S. Bedi (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 S. Bedi (ICML, 2024)

LANCAR: Leveraging Language for Context-Aware Robot Locomotion in Unstructured Environments. - Chak Lam Shek; Xiyang Wu; Wesley A. Suttle; Carl E. Busart; Erin G. Zaroukian; Dinesh Manocha; Pratap Tokekar; Amrit Singh Bedi (IROS, 2024)

Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems. - Wesley A. Suttle; Vipul K. Sharma; Krishna Chaitanya Kosaraju; S. Sivaranjani; Ji Liu 001; Vijay Gupta 001; Brian M. Sadler (CoRR, 2024)

Global Optimality without Mixing Time Oracles in Average-reward RL via Multi-level Actor-Critic. - Bhrij Patel; Wesley A. Suttle; Alec Koppel; Vaneet Aggarwal; Brian M. Sadler; Amrit Singh Bedi; Dinesh Manocha (CoRR, 2024)

AIME: AI System Optimization via Multiple LLM Evaluators. - Bhrij Patel; Souradip Chakraborty; Wesley A. Suttle; Mengdi Wang; Amrit Singh Bedi; Dinesh Manocha (CoRR, 2024)

Hierarchical Preference Optimization: Learning to achieve goals via feasible subgoals prediction. - Utsav Singh; Souradip Chakraborty; Wesley A. Suttle; Brian M. Sadler; Anit Kumar Sahu; Mubarak Shah; Vinay P. Namboodiri; Amrit Singh Bedi (CoRR, 2024)

Occupancy Information Ratio: Infinite-Horizon, Information-Directed, Parameterized Policy Search. - Wesley A. Suttle; Alec Koppel; Ji Liu 001 (SIAM J. Control. Optim., 2024)

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

Scalable Natural Policy Gradient for General-Sum Linear Quadratic Games with Known Parameters. - Mostafa M. Shibl; Wesley Suttle; Vijay Gupta 001 (L4DC, 2025)

Value of Information-based Deceptive Path Planning Under Adversarial Interventions. - Wesley A. Suttle; Jesse Milzman; Mustafa O. Karabag; Brian M. Sadler; Ufuk Topcu (CoRR, 2025)

Signal attenuation enables scalable decentralized multi-agent reinforcement learning over networks. - Wesley A. Suttle; Vipul K. Sharma; Brian M. Sadler (CoRR, 2025)