| Learning and planning in average-reward markov decision processes Y Wan, A Naik, RS Sutton International Conference on Machine Learning, 10653-10662, 2021 | 70 | 2021 |
| Average-reward off-policy policy evaluation with function approximation S Zhang, Y Wan, RS Sutton, S Whiteson international conference on machine learning, 12578-12588, 2021 | 37 | 2021 |
| Planning with expectation models Y Wan, Z Abbas, A White, M White, RS Sutton arXiv preprint arXiv:1904.01191, 2019 | 29 | 2019 |
| Off-policy maximum entropy reinforcement learning: Soft actor-critic with advantage weighted mixture policy (SAC-AWMP) Z Hou, K Zhang, Y Wan, D Li, C Fu, H Yu arXiv preprint arXiv:2002.02829, 2020 | 18 | 2020 |
| Towards evaluating adaptivity of model-based reinforcement learning methods Y Wan, A Rahimi-Kalahroudi, J Rajendran, I Momennejad, S Chandar, ... International Conference on Machine Learning, 22536-22561, 2022 | 14 | 2022 |
| Average-reward learning and planning with options Y Wan, A Naik, R Sutton Advances in Neural Information Processing Systems 34, 22758-22769, 2021 | 12 | 2021 |
| Model-based reinforcement learning with non-linear expectation models and stochastic environments Y Wan, M Zaheer, M White, RS Sutton FAIM Workshop on Prediction and Generative Modeling in Reinforcement …, 2018 | 6 | 2018 |
| Toward discovering options that achieve faster planning Y Wan, RS Sutton arXiv preprint arXiv:2205.12515, 2022 | 4 | 2022 |
| On convergence of average-reward off-policy control algorithms in weakly communicating MDPs Y Wan, RS Sutton arXiv preprint arXiv:2209.15141, 2022 | 3 | 2022 |
| Pearl: A Production-ready Reinforcement Learning Agent Z Zhu, RS Braz, J Bhandari, D Jiang, Y Wan, Y Efroni, L Wang, R Xu, ... arXiv preprint arXiv:2312.03814, 2023 | 2 | 2023 |
| Learning and Planning with the Average-Reward Formulation Y Wan | 2 | 2023 |
| The Emphatic Approach to Average-Reward Policy Evaluation J He, Y Wan, AR Mahmood Deep Reinforcement Learning Workshop NeurIPS 2022, 2022 | 2 | 2022 |
| On Convergence of Average-Reward Q-Learning in Weakly Communicating Markov Decision Processes Y Wan, H Yu, RS Sutton arXiv preprint arXiv:2408.16262, 2024 | 1 | 2024 |
| A Note on Stability in Asynchronous Stochastic Approximation without Communication Delays H Yu, Y Wan, RS Sutton arXiv preprint arXiv:2312.15091, 2023 | 1 | 2023 |
| Loosely consistent emphatic temporal-difference learning J He, F Che, Y Wan, AR Mahmood Uncertainty in Artificial Intelligence, 849-859, 2023 | 1 | 2023 |
| Planning with expectation models for control K Kudashkina, Y Wan, A Naik, RS Sutton arXiv preprint arXiv:2104.08543, 2021 | 1 | 2021 |
| Asynchronous Stochastic Approximation and Average-Reward Reinforcement Learning H Yu, Y Wan, RS Sutton arXiv preprint arXiv:2409.03915, 2024 | | 2024 |
| Reward Centering A Naik, Y Wan, M Tomar, RS Sutton arXiv preprint arXiv:2405.09999, 2024 | | 2024 |
| Discovering Options by Minimizing the Number of Composed Options to Solve Multiple Tasks Y Wan, RS Sutton | | |
| Incremental Policy Gradients for Online Reinforcement Learning Control K De Asis, A Chan, Y Wan, RS Sutton | | |
