Lihe Li

According to our database, Lihe Li authored at least 18 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Multi-agent In-context Coordination via Decentralized Memory Retrieval.

Tao Jiang, Zichuan Lin, Lihe Li, Yi-Chen Li, Cong Guan, Lei Yuan, Zongzhang Zhang, Yang Yu, Deheng Ye

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Generalizable Offline Multiobjective Reinforcement Learning via Preference-Conditioned Diffuser.

Yuchen Xiao, Lei Yuan, Lihe Li, Ziqian Zhang, Yi-Chen Li, Yang Yu

IEEE Trans. Neural Networks Learn. Syst., December, 2025

Multiagent Continual Coordination via Progressive Task Contextualization.

Lei Yuan, Lihe Li, Ziqian Zhang, Fuxiang Zhang, Cong Guan, Yang Yu

IEEE Trans. Neural Networks Learn. Syst., April, 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

LLM-Assisted Semantically Diverse Teammate Generation for Efficient Multi-agent Coordination.

Lihe Li, Lei Yuan, Pengsen Liu, Tao Jiang, Yang Yu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Efficient Multi-agent Offline Coordination via Diffusion-based Trajectory Stitching.

Lei Yuan, Yuqi Bian, Lihe Li, Ziqian Zhang, Cong Guan, Yang Yu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Robust cooperative multi-agent reinforcement learning via multi-view message certification.

Lei Yuan, Tao Jiang, Lihe Li, Feng Chen, Zongzhang Zhang, Yang Yu

Sci. China Inf. Sci., 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

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Multi-Agent Domain Calibration with a Handful of Offline Data.

Tao Jiang, Lei Yuan, Lihe Li, Cong Guan, Zongzhang Zhang, Yang Yu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Cost-aware Offline Safe Meta Reinforcement Learning with Robust In-Distribution Online Task Adaptation.

Cong Guan, Ruiqi Xue, Ziqian Zhang, Lihe Li, Yi-Chen Li, Lei Yuan, Yang Yu

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

A Survey of Progress on Cooperative Multi-agent Reinforcement Learning in Open Environment.

Lei Yuan, Ziqian Zhang, Lihe Li, Cong Guan, Yang Yu

CoRR, 2023

Efficient Human-AI Coordination via Preparatory Language-based Convention.

Cong Guan, Lichao Zhang, Chunpeng Fan, Yichen Li, Feng Chen, Lihe Li, Yunjia Tian, Lei Yuan, Yang Yu

CoRR, 2023

Multi-agent Continual Coordination via Progressive Task Contextualization.

Lei Yuan, Lihe Li, Ziqian Zhang, Fuxiang Zhang, Cong Guan, Yang Yu

CoRR, 2023

Robust Multi-agent Communication via Multi-view Message Certification.

Lei Yuan, Tao Jiang, Lihe Li, Feng Chen, Zongzhang Zhang, Yang Yu

CoRR, 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

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Learning to Coordinate with Anyone.

Lei Yuan, Lihe Li, Ziqian Zhang, Feng Chen, Tianyi Zhang, Cong Guan, Yang Yu, Zhi-Hua Zhou

Proceedings of the Fifth International Conference on Distributed Artificial Intelligence, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023