Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning Y Sun, J Zhang, C Jia, H Lin, J Ye, Y Yu Proceedings of the 40th International Conference on Machine Learning 202 …, 2023 | 37 | 2023 |
Model-based Reinforcement Learning with Multi-step Plan Value Estimation H Lin, Y Sun, J Zhang, Y Yu Proceedings of the 26th European Conference on Artificial Intelligence 372 …, 2023 | 10 | 2023 |
Episodic return decomposition by difference of implicitly assigned sub-trajectory reward H Lin, H Wu, J Zhang, Y Sun, J Ye, Y Yu Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13808 …, 2024 | 2 | 2024 |
Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning H Lin, YY Xu, Y Sun, Z Zhang, YC Li, C Jia, J Ye, J Zhang, Y Yu arXiv preprint arXiv:2405.17031, 2024 | 1 | 2024 |
WHALE: Towards Generalizable and Scalable World Models for Embodied Decision-making Z Zhang, R Chen, J Ye, Y Sun, P Wang, J Pang, K Li, T Liu, H Lin, Y Yu, ... arXiv preprint arXiv:2411.05619, 2024 | | 2024 |
Learning Fair and Efficient Multiple Access Schemes with Decomposed MADDPG Z Liu, H Lin, X Wang, J Gong, X Chen 2023 International Conference on Future Communications and Networks (FCN), 1-6, 2023 | | 2023 |
Whale-X: Learning Scalable Embodied World Models with Enhanced Generalizability Z Zhang, R Chen, J Ye, Y Sun, P Wang, JC Pang, K Li, TS Liu, H Lin, Y Yu | | |