Feudal multi-agent deep reinforcement learning for traffic signal control J Ma, F Wu Proceedings of the 19th international conference on autonomous agents and …, 2020 | 72 | 2020 |
Learning to coordinate traffic signals with adaptive network partition J Ma, F Wu IEEE Transactions on Intelligent Transportation Systems, 2023 | 5 | 2023 |
Effective multimodal reinforcement learning with modality alignment and importance enhancement J Ma, F Wu, Y Chen, X Ji, Y Ding arXiv preprint arXiv:2302.09318, 2023 | 4 | 2023 |
Learning to coordinate from offline datasets with uncoordinated behavior policies J Ma, F Wu Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023 | 4 | 2023 |
Feudal multi-agent reinforcement learning with adaptive network partition for traffic signal control J Ma, F Wu arXiv preprint arXiv:2205.13836, 2022 | 4 | 2022 |
Real-Time Network-Level Traffic Signal Control: An Explicit Multiagent Coordination Method W Wang, T Qiao, J Ma, J Jin, Z Li, W Wu, Y Jian arXiv preprint arXiv:2306.08843, 2023 | 2 | 2023 |
Multimodal Reinforcement Learning with Effective State Representation Learning J Ma, Y Chen, F Wu, X Ji, Y Ding Proceedings of the 21st International Conference on Autonomous Agents and …, 2022 | 2 | 2022 |
Safety Constrained Multi-Agent Reinforcement Learning for Active Voltage Control Y Qu, J Ma, F Wu arXiv preprint arXiv:2405.08443, 2024 | 1 | 2024 |
Improving Offline Reinforcement Learning with Inaccurate Simulators Y Hou, H Sun, J Ma, F Wu arXiv preprint arXiv:2405.04307, 2024 | 1 | 2024 |
Effective Offline Robot Learning with Structured Task Graph Y Hou, J Ma, H Sun, F Wu IEEE Robotics and Automation Letters, 2024 | | 2024 |
Effective Traffic Signal Control with Offline-to-Online Reinforcement Learning J Ma, F Wu 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | | 2023 |