Playvirtual: Augmenting cycle-consistent virtual trajectories for reinforcement learning T Yu, C Lan, W Zeng, M Feng, Z Zhang, Z Chen Advances in Neural Information Processing Systems 34, 5276-5289, 2021 | 22 | 2021 |
H-tsp: Hierarchically solving the large-scale traveling salesman problem X Pan, Y Jin, Y Ding, M Feng, L Zhao, L Song, J Bian Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9345-9353, 2023 | 18 | 2023 |
Multi-agent reinforcement learning with shared resources for inventory management Y Ding, M Feng, G Liu, W Jiang, C Zhang, L Zhao, L Song, H Li, Y Jin, ... arXiv preprint arXiv:2212.07684, 2022 | 9 | 2022 |
Stabilizing voltage in power distribution networks via multi-agent reinforcement learning with transformer M Wang, M Feng, W Zhou, H Li Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 5 | 2022 |
MA2CL: Masked attentive contrastive learning for multi-agent reinforcement learning H Song, M Feng, W Zhou, H Li arXiv preprint arXiv:2306.02006, 2023 | 3 | 2023 |
Multi-Agent Reinforcement Learning with Shared Resource in Inventory Management M Feng, G Liu, L Zhao, L Song, J Bian, T Qin, W Zhou, H Li, TY Liu | 1 | 2021 |
Boosting Multi-Agent Reinforcement Learning via Transition-Informed Representations M Feng, W Zhou, Y Yang, H Li | | 2023 |
Multi-Agent Hierarchical Graph Attention Reinforcement Learning for Grid-Aware Energy Management B FENG, M FENG, M WANG, W ZHOU, H LI ZTE Communications 21 (3), 11, 2023 | | 2023 |
Sample Efficient Reinforcement Learning with Double Importance Sampling Weight Clipping J Han, M Feng, W Zhou, H Li 2023 IEEE Conference on Games (CoG), 1-8, 2023 | | 2023 |
Multi-Agent Reinforcement Learning with Safety Layer for Active Voltage Control Y Shi, M Feng, M Wang, W Zhou, H Li Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023 | | 2023 |
Joint-Predictive Representations for Multi-Agent Reinforcement Learning M Feng, W Zhou, Y Yang, H Li | | 2022 |
Timar: Transition-Informed Representation for Sample-Efficient Multi-Agent Reinforcement Learning M Feng, Y Yang, W Zhou, H Li Available at SSRN 4706110, 0 | | |