| 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 | 75 | 2020 |
| 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 | 12 | 2023 |
| 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 |
| 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 | 3 | 2024 |
| Deceptive Path Planning via Reinforcement Learning with Graph Neural Networks MY Fatemi, WA Suttle, BM Sadler arXiv preprint arXiv:2402.06552, 2024 | 3 | 2024 |
| 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 | 3 | 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 |
| PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling U Singh, WA Suttle, BM Sadler, VP Namboodiri, AS Bedi arXiv preprint arXiv:2404.13423, 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 |
| Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles B Patel, WA Suttle, A Koppel, V Aggarwal, BM Sadler, D Manocha, A Bedi Forty-first International Conference on Machine Learning, 0 | 1 | |
| DIPPER: Direct Preference Optimization to Accelerate Primitive-Enabled Hierarchical Reinforcement Learning U Singh, S Chakraborty, WA Suttle, BM Sadler, VP Namboodiri, AS Bedi arXiv preprint arXiv:2406.10892, 2024 | | 2024 |
| Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems W Suttle, VK Sharma, KC Kosaraju, S Seetharaman, J Liu, V Gupta, ... International Conference on Artificial Intelligence and Statistics, 4420-4428, 2024 | | 2024 |
| Ada-NAV: Adaptive Trajectory Length-Based Sample Efficient Policy Learning for Robotic Navigation B Patel, K Weerakoon, WA Suttle, A Koppel, BM Sadler, T Zhou, ... arXiv e-prints, arXiv: 2306.06192, 2023 | | 2023 |
| 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 |
Ji LiuStony Brook UniversityVerified email at stonybrook.edu
