| Celebrating Diversity in Shared Multi-Agent Reinforcement Learning C Li, T Wang, C Wu, Q Zhao, J Yang, C Zhang (NeurIPS 2021) 35th Annual Conference on Neural Information Processing Systems, 2021 | 114 | 2021 |
| Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning Y Yang, X Ma, C Li, Z Zheng, Q Zhang, G Huang, J Yang, Q Zhao (NeurIPS 2021 spotlight) 35th Annual Conference on Neural Information …, 2021 | 65 | 2021 |
| Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning X Ma, Y Yang, C Li, Y Lu, Q Zhao, Y Jun (AAMAS 2021) Proceedings of the 20th International Conference on Autonomous …, 2021 | 17 | 2021 |
| Fairness control of traffic light via deep reinforcement learning C Li, X Ma, L Xia, Q Zhao, J Yang (CASE) 2020 IEEE 16th International Conference on Automation Science and …, 2020 | 17 | 2020 |
| Dynamic time estimation based AGV dispatching algorithm in automated container terminal Z Yang, C Li, Q Zhao (CCC) 2018 37th Chinese Control Conference, 7868-7873, 2018 | 16 | 2018 |
| SOAC: The soft option actor-critic architecture C Li, X Ma, C Zhang, J Yang, L Xia, Q Zhao arXiv preprint arXiv:2006.14363, 2020 | 9 | 2020 |
| Towards global optimality in cooperative marl with sequential transformation J Ye, C Li, J Wang, Q Zhao, C Zhang | 7 | 2022 |
| Learning to discover task-relevant features for interpretable reinforcement learning Q Zhang, X Ma, Y Yang, C Li, J Yang, Y Liu, B Liang IEEE Robotics and Automation Letters 6 (4), 6601-6607, 2021 | 6 | 2021 |
| Containerized distributed value-based multi-agent reinforcement learning S Wu, T Wang, C Li, Y Hu, C Zhang arXiv preprint arXiv:2110.08169, 2021 | 4 | 2021 |
| Learning Diverse Risk Preferences in Population-based Self-play Y Jiang, Q Liu, X Ma, C Li, Y Yang, J Yang, B Liang, Q Zhao (AAAI 2024 oral) arXiv preprint arXiv:2305.11476, 2023 | 1 | 2023 |
| Towards Global Optimality in Cooperative MARL with the Transformation And Distillation Framework J Ye, C Li, J Wang, C Zhang arXiv preprint arXiv:2207.11143, 2022 | 1 | 2022 |
| Celebrating Diversity With Subtask Specialization in Shared Multiagent Reinforcement Learning C Li, T Wang, C Wu, Q Zhao, J Yang, C Zhang (TNNLS) IEEE Transactions on Neural Networks and Learning Systems, 2023 | | 2023 |
| Efficient Policy Transfer in Large-Scale Traffic Light Control via Multi-Agent Hierarchical Reinforcement Learning C Li, H Yan, Q Zhao (CASE) 2023 IEEE 19th International Conference on Automation Science and …, 2023 | | 2023 |
| Never Explore Repeatedly in Multi-Agent Reinforcement Learning C Li, T Wang, C Zhang, Q Zhao arXiv preprint arXiv:2308.09909, 2023 | | 2023 |
| A Goal-conditioned Reinforcement Learning Algorithm with Environment Modeling Z Yu, K Sun, C Li, D Zhong, Y Yang, Q Zhao (CCC) 2023 42nd Chinese Control Conference, 8763-8768, 2023 | | 2023 |
| A Multi-Stage Dispatching and Scheduling Algorithm for Individualized Public Transportation System Z Yang, X Wang, C Li, Q Zhao (CASE) 2019 IEEE 15th International Conference on Automation Science and …, 2019 | | 2019 |
Qianchuan ZhaoCenter for Intelligent and Networked Systems, Dept. Automation, Tsinghua University, Beijing, ChinaVerified email at tsinghua.edu.cn
