A survey on explainable reinforcement learning: Concepts, algorithms, challenges Y Qing, S Liu, J Song, H Wang, M Song arXiv preprint arXiv:2211.06665, 2022 | 35 | 2022 |
Is centralized training with decentralized execution framework centralized enough for MARL? Y Zhou, S Liu, Y Qing, K Chen, T Zheng, Y Huang, J Song, M Song arXiv preprint arXiv:2305.17352, 2023 | 21 | 2023 |
Powerformer: A Section-adaptive Transformer for Power Flow Adjustment K Chen, W Luo, S Liu, Y Wei, Y Zhou, Y Qing, Q Zhang, J Song, M Song arXiv preprint arXiv:2401.02771, 2024 | 3 | 2024 |
Curricular Subgoals for Inverse Reinforcement Learning S Liu, Y Qing, S Xu, H Wu, J Zhang, J Cong, T Chen, YF Liu, M Song IEEE Transactions on Intelligent Transportation Systems, 2025 | 1 | 2025 |
Temporal Prototype-Aware Learning for Active Voltage Control on Power Distribution Networks F Xu, S Liu, Y Qing, Y Zhou, Y Wang, M Song Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective Y Qing, S Liu, J Cong, K Chen, Y Zhou, M Song The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | | |