Wesley Suttle

According to our database, Wesley Suttle authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

DIPPER: Direct Preference Optimization to Accelerate Primitive-Enabled Hierarchical Reinforcement Learning.

Utsav Singh, Souradip Chakraborty, Wesley A. Suttle, Brian M. Sadler, Vinay P. Namboodiri, Amrit Singh Bedi

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

Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems.

Wesley A. Suttle, Vipul K. Sharma, Krishna Chaitanya Kosaraju, S. Sivaranjani, Ji Liu, Vijay Gupta, Brian M. Sadler

CoRR, 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

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Deceptive Path Planning via Reinforcement Learning with Graph Neural Networks.

Michael Y. Fatemi, Wesley A. Suttle, Brian M. Sadler

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems.

Wesley Suttle, Vipul Kumar Sharma, Krishna Chaitanya Kosaraju, Seetharaman Sivaranjani, Ji Liu, Vijay Gupta, Brian M. Sadler

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

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

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

Proceedings of the International Conference on Machine Learning, 2023

Information-Directed Policy Search in Sparse-Reward Settings via the Occupancy Information Ratio.

Wesley A. Suttle, Alec Koppel, Ji Liu

Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

2022

Reinforcement Learning Based Distributed Control of Dissipative Networked Systems.

Krishna Chaitanya Kosaraju, S. Sivaranjani, Wesley Suttle, Vijay Gupta, Ji Liu

IEEE Trans. Control. Netw. Syst., 2022

Occupancy Information Ratio: Infinite-Horizon, Information-Directed, Parameterized Policy Search.

Wesley A. Suttle, Alec Koppel, Ji Liu

CoRR, 2022

Policy Gradient for Ratio Optimization: A Case Study.

Wesley A. Suttle, Alec Koppel, Ji Liu

Proceedings of the 56th Annual Conference on Information Sciences and Systems, 2022

2021

Reinforcement Learning for Cost-Aware Markov Decision Processes.

Wesley Suttle, Kaiqing Zhang, Zhuoran Yang, Ji Liu, David N. Kraemer

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Reinforcement Learning based Distributed Control of Dissipative Networked Systems.

Krishna Chaitanya Kosaraju, Seetharaman Sivaranjani, Wesley Suttle, Vijay Gupta, J. Liu

CoRR, 2020

2019

Stochastic Convergence Results for Regularized Actor-Critic Methods.

Wesley Suttle, Zhuoran Yang, Kaiqing Zhang, Ji Liu

CoRR, 2019

A Multi-Agent Off-Policy Actor-Critic Algorithm for Distributed Reinforcement Learning.

Wesley Suttle, Zhuoran Yang, Kaiqing Zhang, Zhaoran Wang, Tamer Basar, Ji Liu

CoRR, 2019