| Multi-agent incentive communication via decentralized teammate modeling L Yuan, J Wang, F Zhang, C Wang, Z Zhang, Y Yu, C Zhang Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 9466-9474, 2022 | 48 | 2022 |
| Discovering generalizable multi-agent coordination skills from multi-task offline data F Zhang, C Jia, YC Li, L Yuan, Y Yu, Z Zhang The Eleventh International Conference on Learning Representations, 2022 | 23 | 2022 |
| Multi-Agent Concentrative Coordination with Decentralized Task Representation. L Yuan, C Wang, J Wang, F Zhang, F Chen, C Guan, Z Zhang, C Zhang, ... IJCAI, 599-605, 2022 | 15 | 2022 |
| Policy regularization with dataset constraint for offline reinforcement learning Y Ran, YC Li, F Zhang, Z Zhang, Y Yu International Conference on Machine Learning, 28701-28717, 2023 | 12 | 2023 |
| Model gradient: unified model and policy learning in model-based reinforcement learning C Jia, F Zhang, T Xu, JC Pang, Z Zhang, Y Yu Frontiers of Computer Science 18 (4), 184339, 2024 | 2 | 2024 |
| Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation C Jia, F Zhang, YC Li, CX Gao, XH Liu, L Yuan, Z Zhang, Y Yu arXiv preprint arXiv:2403.07261, 2024 | 2 | 2024 |
| Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning C Jia, C Gao, H Yin, F Zhang, XH Chen, T Xu, L Yuan, Z Zhang, ZH Zhou, ... The Twelfth International Conference on Learning Representations, 2024 | 2 | 2024 |
| Multiagent Continual Coordination via Progressive Task Contextualization L Yuan, L Li, Z Zhang, F Zhang, C Guan, Y Yu IEEE Transactions on Neural Networks and Learning Systems, 2024 | 1 | 2024 |
| Internal Logical Induction for Pixel-Symbolic Reinforcement Learning J Xu, C Chen, F Zhang, L Yuan, Z Zhang, Y Yu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 1 | 2023 |
| Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models F Zhang, J Li, YC Li, Z Zhang, Y Yu, D Ye arXiv preprint arXiv:2407.03964, 2024 | | 2024 |
| Q-Adapter: Training Your LLM Adapter as a Residual Q-Function YC Li, F Zhang, W Qiu, L Yuan, C Jia, Z Zhang, Y Yu arXiv preprint arXiv:2407.03856, 2024 | | 2024 |
| Towards deployment-efficient and collision-free multi-agent path finding (student abstract) F Chen, C Wang, F Zhang, H Ding, Q Zhong, S Pu, Z Zhang Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16182 …, 2023 | | 2023 |
Zongzhang ZhangNanjing University在 nju.edu.cn 的电子邮件经过验证
