Guan Cong @ LAMDA
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管 聪 |
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Biography
Currently I am a final year Ph.D. student of School of Artificial Intelligence in Nanjing University and a member of LAMDA Group, which is led by professor Zhi-Hua Zhou.
I received my M.Sc. degree from SAPI under the supervision of Prof. Tian-You Chai
, and my B.Sc. degree from NEU .
In September 2020, I was admitted to study for a Ph.D. degree in Nanjing University under the supervision of Prof. Yang Yu.
Recent Update
Research Interests
My research interest is Machine Learning. Especially, I am interested in
Reinforcement Learning and Game Theory: Self Play
Sim to Real
Conference Papers:
Cong Guan, Feng Chen, Lei Yuan, Zongzhang Zhang, Yang Yu. Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning. arXiv preprint arXiv:2302.09605. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). 2024.
Cong Guan, Ke Xue, Chunpeng Fan, Feng Chen, Lichao Zhang, Lei Yuan, Chao Qian , Yang Yu. Open and Real-World Human-AI Coordination by Heterogeneous Training with Communication. FCS (Frontiers of Computer Science). 2024.
Cong Guan, Ruiqi Xue, Ziqian Zhang, Lihe Li, Yichen Li, Lei Yuan and Yang Yu. Cost-aware Offline Safe Meta Reinforcement Learning with Robust In-Distribution Online Task Adaptation. Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024). 2024.
Cong Guan, Feng Chen, Ke Xue, Chunpeng Fan, Lichao Zhang, Ziqian Zhang, Pengyao Zhao, Zongzhang Zhang, Chao Qian, Lei Yuan, Yang Yu. One by One, Continual Coordinating with Humans via Hyper-Teammate Identification. ICLR 2024 Workshop GenAI4DM. 2024.
- Cong Guan, Feng Chen, Lei Yuan, Chenghe Wang, Hao Yin, Zongzhang Zhang, Yang Yu. Efficient Multi-agent Communication via Self-supervised Information Aggregation. In: Advances in Neural Information Processing Systems 35 (NeurIPS'22), New Orleans, LA, 2022.
Cong Guan, Lichao Zhang, Chunpeng Fan, Yi-Chen Li, Feng Chen, Lihe Li, Yunjia Tian, Lei Yuan, and Yang Yu. Efficient Human-AI Coordination via Preparatory Language-based Convention. LLMAgents @ ICLR 2024, 2024. arXiv preprint arXiv:2311.00416.
Feng Chen, Fuguang Han, Cong Guan, Lei Yuan, Zhilong Zhang, Yang Yu, Zongzhang Zhang. Stable Continual Reinforcement Learning via Diffusion-based Trajectory Replay. ICLR 2024 Workshop GenAI4DM, 2024.
Lihe Li, Ruotong Chen, Ziqian Zhang, Zhichao Wu, Yi-Chen Li, Cong Guan, Yang Yu, and Lei Yuan. Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal. Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI-24) , 2024.
Lei Yuan, Zi-Qian Zhang, Ke Xue, Hao Yin, Feng Chen, Cong Guan, Li-He Li, Chao Qian, Yang Yu. Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers. Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI-23), 2023.
Zi-Qian Zhang, Lei Yuan, Li-He Li, Ke Xue, Chengxing Jia, Cong Guan, Chao Qian, Yang Yu. Fast Teammate Adaptation in the Presence of Sudden Policy Change. Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence (UAI 2023), 2023. arXiv:2305.05911.
Preprints:
Ke Xue, Yutong Wang, Lei Yuan, Cong Guan, Chao Qian, Yang Yu. Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution. arXiv preprint arXiv:2208.04957.
Awards & Honors
Correspondence
Email:
guanc @ lamda.nju.edu.cn
Laboratory:
Shaoyifu Building, Xianlin Campus of Nanjing University
Address:
National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
(南京市栖霞区仙林大道163号, 南京大学仙林校区603信箱, 软件新技术国家重点实验室, 210023.)