Li, Lihe

10 publications

NeurIPS 2025 Adaptable Safe Policy Learning from Multi-Task Data with Constraint Prioritized Decision Transformer Ruiqi Xue, Ziqian Zhang, Lihe Li, Cong Guan, Lei Yuan, Yang Yu

ICLR 2025 Efficient Multi-Agent Offline Coordination via Diffusion-Based Trajectory Stitching Lei Yuan, Yuqi Bian, Lihe Li, Ziqian Zhang, Cong Guan, Yang Yu

ICML 2025 LLM-Assisted Semantically Diverse Teammate Generation for Efficient Multi-Agent Coordination Lihe Li, Lei Yuan, Pengsen Liu, Tao Jiang, Yang Yu

ICML 2025 Learning to Reuse Policies in State Evolvable Environments Ziqian Zhang, Bohan Yang, Lihe Li, Yuqi Bian, Ruiqi Xue, Feng Chen, Yi-Chen Li, Lei Yuan, Yang Yu

IJCAI 2024 Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal Lihe Li, Ruotong Chen, Ziqian Zhang, Zhichao Wu, Yi-Chen Li, Cong Guan, Yang Yu, Lei Yuan

ECML-PKDD 2024 Dynamics Adaptive Safe Reinforcement Learning with a Misspecified Simulator Ruiqi Xue, Ziqian Zhang, Lihe Li, Feng Chen, Yi-Chen Li, Yang Yu, Lei Yuan

ICLRW 2024 Efficient Human-AI Coordination via Preparatory Language-Based Convention Cong Guan, Lichao Zhang, Chunpeng Fan, Yi-Chen Li, Feng Chen, Lihe Li, Yunjia Tian, Lei Yuan, Yang Yu

NeurIPS 2024 Multi-Agent Domain Calibration with a Handful of Offline Data Tao Jiang, Lei Yuan, Lihe Li, Cong Guan, Zongzhang Zhang, Yang Yu

UAI 2023 Fast Teammate Adaptation in the Presence of Sudden Policy Change Ziqian Zhang, Lei Yuan, Lihe Li, Ke Xue, Chengxing Jia, Cong Guan, Chao Qian, Yang Yu

AAAI 2023 Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers Lei Yuan, Ziqian Zhang, Ke Xue, Hao Yin, Feng Chen, Cong Guan, Lihe Li, Chao Qian, Yang Yu