| Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL R Yang, Y Lu, W Li, H Sun, M Fang, Y Du, X Li, L Han, C Zhang International Conference on Learning Representations (ICLR) 2022, 2022 | 65 | 2022 |
| RORL: Robust Offline Reinforcement Learning via Conservative Smoothing R Yang*, C Bai*, X Ma, Z Wang, C Zhang, L Han Advances in Neural Information Processing Systems (NeurIPS) 2022, 2022 | 64 | 2022 |
| FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization L Li, R Yang, D Luo International Conference on Learning Representations (ICLR) 2021, 2020 | 62 | 2020 |
| Exploiting Reward Shifting in Value-Based Deep RL H Sun, L Han, R Yang, X Ma, J Guo, B Zhou Advances in Neural Information Processing Systems (NeurIPS) 2022, 2022 | 34* | 2022 |
| Arithmetic control of llms for diverse user preferences: Directional preference alignment with multi-objective rewards H Wang, Y Lin, W Xiong, R Yang, S Diao, S Qiu, H Zhao, T Zhang Annual Meeting of the Association for Computational Linguistics (ACL) 2024, 2024 | 24 | 2024 |
| MHER: Model-based Hindsight Experience Replay R Yang, M Fang, L Han, Y Du, F Luo, X Li NeurIPS 2021 Deep RL Workshop, 2021 | 23 | 2021 |
| What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL? R Yang, Y Lin, X Ma, H Hu, C Zhang, T Zhang International Conference on Machine Learning (ICML) 2023, 2023 | 18 | 2023 |
| Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment R Yang*, X Pan*, F Luo*, S Qiu*, H Zhong, D Yu, J Chen International Conference on Machine Learning (ICML) 2024, 2024 | 17 | 2024 |
| A survey on sparse reward algorithms in reinforcement learning-theory and experiment 杨瑞， 严江鹏， 李秀 智能系统学报 15 (5), 888-899, 2020 | 17* | 2020 |
| Corruption-Robust Offline Reinforcement Learning with General Function Approximation C Ye*, R Yang*, Q Gu, T Zhang Advances in Neural Information Processing Systems (NeurIPS) 2023, 2023 | 10 | 2023 |
| Towards Robust Offline Reinforcement Learning under Diverse Data Corruption R Yang*, H Zhong*, J Xu*, A Zhang, C Zhang, L Han, T Zhang International Conference on Learning Representations (ICLR) 2024, 2023 | 9 | 2023 |
| Bias-reduced Multi-step Hindsight Experience Replay for Efficient Multi-goal Reinforcement Learning R Yang, J Lyu, Y Yang, J Yan, F Luo, D Luo, L Li, X Li arXiv preprint arXiv:2102.12962, 2021 | 9* | 2021 |
| Towards robust offline-to-online reinforcement learning via uncertainty and smoothness X Wen, X Yu, R Yang, C Bai, Z Wang Journal of Artificial Intelligence Research, 2024, 2023 | 7 | 2023 |
| Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs R Yang, R Ding, Y Lin, H Zhang, T Zhang Advances in Neural Information Processing Systems (NeurIPS) 2024, 2024 | 6 | 2024 |
| Efficient multi-goal reinforcement learning via value consistency prioritization J Xu, S Li, R Yang, C Yuan, L Han Journal of Artificial Intelligence Research 77, 355-376, 2023 | 4 | 2023 |
| GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models M Wang*, R Yang*, X Chen, H Sun, M Fang, M Giovanni Transactions on Machine Learning Research (TMLR) 2024., 2023 | 3 | 2023 |
| Combining hindsight with goal-enhanced prediction for multi-goal reinforcement learning R Yang, F Luo, X Li 2021 IEEE 33rd International Conference on Tools with Artificial …, 2021 | 2 | 2021 |
| Traversing Pareto Optimal Policies: Provably Efficient Multi-Objective Reinforcement Learning S Qiu, D Zhang, R Yang, B Lyu, T Zhang arXiv preprint arXiv:2407.17466, 2024 | | 2024 |
| Robust Decision Transformer: Tackling Data Corruption in Offline RL via Sequence Modeling J Xu*, R Yang*, F Luo, M Fang, B Wang, L Han arXiv preprint arXiv:2407.04285, 2024 | | 2024 |
| Robot control method, apparatus and device, storage medium and program product R Yang, L Li, D Luo US Patent App. 17/957,710, 2023 | | 2023 |
Lei HanTencent Robotics XVerified email at tencent.com
