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2020 – today
- 2025
[j3]Lei Yuan
, Lihe Li, Ziqian Zhang, Fuxiang Zhang, Cong Guan, Yang Yu:
Multiagent Continual Coordination via Progressive Task Contextualization. IEEE Trans. Neural Networks Learn. Syst. 36(4): 6326-6340 (2025)- [j2]Yuchen Xiao, Lei Yuan, Lihe Li, Ziqian Zhang, Yi-Chen Li, Yang Yu:
Generalizable Offline Multiobjective Reinforcement Learning via Preference-Conditioned Diffuser. IEEE Trans. Neural Networks Learn. Syst. 36(12): 20199-20213 (2025) - [c10]Lei Yuan, Yuqi Bian, Lihe Li, Ziqian Zhang, Cong Guan, Yang Yu:
Efficient Multi-agent Offline Coordination via Diffusion-based Trajectory Stitching. ICLR 2025 - [c9]Lihe Li, Lei Yuan, Pengsen Liu, Tao Jiang, Yang Yu:
LLM-Assisted Semantically Diverse Teammate Generation for Efficient Multi-agent Coordination. ICML 2025 - [c8]Ziqian Zhang, Bohan Yang, Lihe Li, Yuqi Bian, Ruiqi Xue, Feng Chen, Yi-Chen Li, Lei Yuan, Yang Yu:
Learning to Reuse Policies in State Evolvable Environments. ICML 2025 - [i8]Tao Jiang, Zichuan Lin, Lihe Li, Yi-Chen Li, Cong Guan, Lei Yuan, Zongzhang Zhang, Yang Yu, Deheng Ye:
Multi-agent In-context Coordination via Decentralized Memory Retrieval. CoRR abs/2511.10030 (2025) - 2024
- [j1]Lei Yuan, Tao Jiang, Lihe Li, Feng Chen, Zongzhang Zhang, Yang Yu:
Robust cooperative multi-agent reinforcement learning via multi-view message certification. Sci. China Inf. Sci. 67(1) (2024) - [c7]Cong Guan, Ruiqi Xue, Ziqian Zhang, Lihe Li, Yi-Chen Li, Lei Yuan, Yang Yu:
Cost-aware Offline Safe Meta Reinforcement Learning with Robust In-Distribution Online Task Adaptation. AAMAS 2024: 743-751 - [c6]Lihe Li, Ruotong Chen, Ziqian Zhang, Zhichao Wu, Yi-Chen Li, Cong Guan, Yang Yu, Lei Yuan:
Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal. IJCAI 2024: 4434-4442 - [c5]Tao Jiang, Lei Yuan, Lihe Li, Cong Guan, Zongzhang Zhang, Yang Yu:
Multi-Agent Domain Calibration with a Handful of Offline Data. NeurIPS 2024 - [c4]Ruiqi Xue, Ziqian Zhang, Lihe Li, Feng Chen, Yi-Chen Li, Yang Yu, Lei Yuan:
Dynamics Adaptive Safe Reinforcement Learning with a Misspecified Simulator. ECML/PKDD (7) 2024: 74-91 - 2023
- [c3]Lei Yuan, Ziqian Zhang, Ke Xue, Hao Yin, Feng Chen, Cong Guan, Lihe Li, Chao Qian, Yang Yu:
Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers. AAAI 2023: 11753-11762 - [c2]Lei Yuan, Lihe Li, Ziqian Zhang, Feng Chen, Tianyi Zhang, Cong Guan, Yang Yu, Zhi-Hua Zhou:
Learning to Coordinate with Anyone. DAI 2023: 4:1-4:9 - [c1]Ziqian Zhang, Lei Yuan, Lihe Li, Ke Xue, Chengxing Jia, Cong Guan, Chao Qian, Yang Yu:
Fast Teammate Adaptation in the Presence of Sudden Policy Change. UAI 2023: 2465-2476 - [i7]Lei Yuan, Ziqian Zhang, Ke Xue, Hao Yin, Feng Chen, Cong Guan, Lihe Li, Chao Qian, Yang Yu:
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers. CoRR abs/2305.05909 (2023) - [i6]Ziqian Zhang, Lei Yuan, Lihe Li, Ke Xue, Chengxing Jia, Cong Guan, Chao Qian, Yang Yu:
Fast Teammate Adaptation in the Presence of Sudden Policy Change. CoRR abs/2305.05911 (2023) - [i5]Lei Yuan, Tao Jiang, Lihe Li, Feng Chen, Zongzhang Zhang, Yang Yu:
Robust Multi-agent Communication via Multi-view Message Certification. CoRR abs/2305.13936 (2023) - [i4]Lei Yuan, Lihe Li, Ziqian Zhang, Fuxiang Zhang, Cong Guan, Yang Yu:
Multi-agent Continual Coordination via Progressive Task Contextualization. CoRR abs/2305.13937 (2023) - [i3]Lei Yuan, Lihe Li, Ziqian Zhang, Feng Chen, Tianyi Zhang, Cong Guan, Yang Yu, Zhi-Hua Zhou:
Learning to Coordinate with Anyone. CoRR abs/2309.12633 (2023) - [i2]Cong Guan, Lichao Zhang, Chunpeng Fan, Yichen Li, Feng Chen, Lihe Li, Yunjia Tian, Lei Yuan, Yang Yu:
Efficient Human-AI Coordination via Preparatory Language-based Convention. CoRR abs/2311.00416 (2023) - [i1]Lei Yuan, Ziqian Zhang, Lihe Li, Cong Guan, Yang Yu:
A Survey of Progress on Cooperative Multi-agent Reinforcement Learning in Open Environment. CoRR abs/2312.01058 (2023)
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