| UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios J Chai, W Li, Y Zhu, D Zhao, Z Ma, K Sun, J Ding IEEE Transactions on Neural Networks and Learning Systems 34, 2093-2104, 2023 | 48 | 2023 |
| A hierarchical deep reinforcement learning framework for 6-DOF UCAV air-to-air combat J Chai, W Chen, Y Zhu, ZX Yao, D Zhao IEEE Transactions on Systems, Man, and Cybernetics: Systems 53 (9), 5417-5429, 2023 | 35 | 2023 |
| Learning continuous 3-DOF air-to-air close-in combat strategy using proximal policy optimization L Li, Z Zhou, J Chai, Z Liu, Y Zhu, J Yi 2022 IEEE Conference on Games (CoG), 616-619, 2022 | 16 | 2022 |
| NVIF: Neighboring variational information flow for cooperative large-scale multiagent reinforcement learning J Chai, Y Zhu, D Zhao IEEE Transactions on Neural Networks and Learning Systems, 2023 | 12 | 2023 |
| Aligning credit for multi-agent cooperation via model-based counterfactual imagination J Chai, Y Fu, D Zhao, Y Zhu Proceedings of the 23rd International Conference on Autonomous Agents and …, 2024 | 3 | 2024 |
| Lilac: Learning a leader for cooperative reinforcement learning Y Fu, J Chai, Y Zhu, D Zhao 2022 IEEE Conference on Games (CoG), 49-55, 2022 | 3 | 2022 |
| An effective deep reinforcement learning approach for adaptive traffic signal control M Yu, J Chai, Y Lv, G Xiong 2020 Chinese Automation Congress (CAC), 6419-6425, 2020 | 2 | 2020 |
| Empowering LLM Agents with Zero-Shot Optimal Decision-Making through Q-learning J Chai, S Li, Y Fu, D Zhao, Y Zhu The Thirteenth International Conference on Learning Representations, 2025 | 1* | 2025 |
| LDR: Learning Discrete Representation to Improve Noise Robustness in Multiagent Tasks Y Fu, Y Zhu, J Chai, D Zhao IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024 | | 2024 |
| CPEG: Leveraging Consistency Policy with Consensus Guidance for Multi-agent Exploration Y Fu, Y Zhu, H Li, Z Zhao, J Chai, D Zhao arXiv preprint arXiv:2411.03603, 2024 | | 2024 |
| INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning Y Fu, Y Zhu, J Zhao, J Chai, D Zhao The Thirteenth International Conference on Learning Representations, 0 | | |
Yuanheng ZhuInstitute of Automation, Chinese Academy of SciencesOverená e-mailová adresa na: ia.ac.cn