Wesley A Suttle

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Ji LiuStony Brook UniversityVerified email at stonybrook.edu
Kaiqing ZhangAssistant Professor, University of Maryland, College ParkVerified email at umd.edu
Alec KoppelAI Research Lead, JP Morgan AI ResearchVerified email at jpmchase.com
Brian M SadlerThe University of Texas at AustinVerified email at ieee.org
Zhaoran WangAssistant Professor at Northwestern UniversityVerified email at northwestern.edu
Tamer BaşarSwanlund Endowed Chair Emeritus & CAS Professor Emeritus of ECE, University of IllinoisVerified email at illinois.edu
Amrit Singh BediAssistant Professor in Department of Computer Science, University of Central Florida, FL, USAVerified email at umd.edu
Bhrij PatelCS PhD Student, University of Maryland, College ParkVerified email at umd.edu
Dinesh ManochaDistinguished University Professor, University of Maryland at College ParkVerified email at umd.edu
David KraemerVerified email at stonybrook.edu
Krishna Chaitanya KosarajuVehicle Automation, University of ClemsonVerified email at clemson.edu
Sivaranjani Seetharaman (S Sivaranja...Assistant Professor, Purdue UniversityVerified email at purdue.edu
Vijay GuptaElectrical and Computer Engineering, Purdue UniversityVerified email at purdue.edu
Vipul SharmaPhD Scholar, Purdue UniversityVerified email at purdue.edu
Zhuoran YangYale UniversityVerified email at yale.edu

Wesley A Suttle

Postdoctoral Researcher, U.S. Army Research Lab

Verified email at army.mil - Homepage

reinforcement learning multi-agent systems


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A multi-agent off-policy actor-critic algorithm for distributed reinforcement learning W Suttle, Z Yang, K Zhang, Z Wang, T Başar, J Liu IFAC-PapersOnLine 53 (2), 1549-1554, 2020	67	2020
Reinforcement learning for cost-aware Markov decision processes W Suttle, K Zhang, Z Yang, J Liu, D Kraemer International Conference on Machine Learning, 9989-9999, 2021	9	2021
Beyond exponentially fast mixing in average-reward reinforcement learning via multi-level Monte Carlo actor-critic WA Suttle, A Bedi, B Patel, BM Sadler, A Koppel, D Manocha International Conference on Machine Learning, 33240-33267, 2023	6	2023
Reinforcement learning based distributed control of dissipative networked systems KC Kosaraju, S Sivaranjani, W Suttle, V Gupta, J Liu IEEE Transactions on Control of Network Systems 9 (2), 856-866, 2021	3	2021
Ada-NAV: Adaptive Trajectory-Based Sample Efficient Policy Learning for Robotic Navigation B Patel, K Weerakoon, WA Suttle, A Koppel, BM Sadler, AS Bedi, ... arXiv preprint arXiv:2306.06192, 2023	2	2023
Global Optimality without Mixing Time Oracles in Average-reward RL via Multi-level Actor-Critic B Patel, WA Suttle, A Koppel, V Aggarwal, BM Sadler, AS Bedi, ... arXiv preprint arXiv:2403.11925, 2024	1	2024
Occupancy Information Ratio: Infinite-Horizon, Information-Directed, Parameterized Policy Search WA Suttle, A Koppel, J Liu arXiv preprint arXiv:2201.08832, 2022	1	2022
A Convergence Result for Regularized Actor-Critic Methods W Suttle, Z Yang, K Zhang, J Liu arXiv preprint arXiv:1907.06138, 2019	1	2019
Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems WA Suttle, VK Sharma, KC Kosaraju, S Sivaranjani, J Liu, V Gupta, ... arXiv preprint arXiv:2403.04007, 2024		2024
Deceptive Path Planning via Reinforcement Learning with Graph Neural Networks MY Fatemi, WA Suttle, BM Sadler arXiv preprint arXiv:2402.06552, 2024		2024
Information-Directed Policy Search in Sparse-Reward Settings via the Occupancy Information Ratio WA Suttle, A Koppel, J Liu 2023 57th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2023		2023
Policy Gradient for Ratio Optimization: A Case Study WA Suttle, A Koppel, J Liu 2022 56th Annual Conference on Information Sciences and Systems (CISS), 281-286, 2022		2022
Reinforcement Learning for Ratio Optimization Problems WA Suttle State University of New York at Stony Brook, 2022		2022

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