Lihe Li 李立和

How to pronounce my name?

Lihe -> lee-huh.
Li -> lee.
You can just call me Lee.

Hi there, thanks for visiting my website! I am a M.Sc. student (Sep. 2023 - Now) at the School of Artificial Intelligence at Nanjing University, where I am fortunate to be advised by Prof. Yang Yu and affiliated with the LAMDA Group led by Prof. Zhi-Hua Zhou. Specifically, I am a member of the LAMDA-RL Group, which focuses on reinforcement learning research. Prior to that, I obtained my bachelor's degree at the same school and university in June 2023.

Unity makes strength. Currently my research interest is Reinforcement Learning (RL), especially in Multi-agent Reinforcement Learning (MARL) that enables agents efficiently, robustly and safely coordinate with other agents🤖 and even humans👨‍👩‍👧‍👦.

Please feel free to drop me an Email for any form of communication or collaboration!

Email:  lilh [at] lamda [dot] nju [dot] edu [dot] cn  /

  lilhzq76 [at] gmail [dot] com

CV  /  Google Scholar  /  Semantic Scholar  /  DBLP  /  Github  /  Twitter

profile photo

Just a reminder, I am the guy on the left.

News
Selected Publications [ Full List / Google Scholar ]
core3 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
The 33rd International Joint Conference on Artificial Intelligence (IJCAI), 2024
pdf / link / code / talk / poster / bibtex

We study the problem of multi-objective reinforcement learning (MORL) with continually evolving learning objectives, and propose CORe3 to enable the MORL agent rapidly learn new objectives and avoid catastrophic forgetting about old objectives lacking reward signals.

macop 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 (DAI), Best Paper Award , 2023
pdf / link / English talk / Chinese talk / bibtex

We propose Multi-agent Compatible Policy Learning (MACOP), where we adopt an agent-centered teammate generation process that gradually and efficiently generates diverse teammates covering the teammate policy space, and we use continual learning to train the ego agents to coordinate with them and acquire strong coordination ability.

macpro Multi-agent Continual Coordination via Progressive Task Contextualization
Lei Yuan, Lihe Li, Ziqian Zhang, Fuxiang Zhang, Cong Guan, Yang Yu
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
pdf / link / code / poster / bibtex

We formulate the continual coordination framework and propose MACPro to enable agents to continually coordinate with each other when the dynamic of the training task and the multi-agent system itself changes over time.

survey A Survey of Progress on Cooperative Multi-agent Reinforcement Learning in Open Environment
Lei Yuan, Ziqian Zhang, Lihe Li, Cong Guan, Yang Yu
Science China Information Sciences (SCIS)
pdf in English / pdf in Chinese / link / bibtex

We review multi-agent cooperation from closed environment to open environment settings, and provide prospects for future development and research directions of cooperative MARL in open environments.

madits Efficient Multi-agent Offline Coordination via Diffusion-based Trajectory Stitching
Lei Yuan, Yuqi Bian, Lihe Li, Ziqian Zhang, Cong Guan, Yang Yu
The 13th International Conference on Learning Representations (ICLR), 2025
pdf / link / bibtex

We propose a data augmentation technique for offline cooperative MARL, utlizing diffusion models to improve the quality of the datasets.

madoc Multi-Agent Domain Calibration with a Handful of Offline Data
Tao Jiang, Lei Yuan, Lihe Li, Cong Guan, Zongzhang Zhang, Yang Yu
Advances in Neural Information Processing Systems 38 (NeurIPS), 2024
pdf / link / code / bibtex

We formulate domain calibration as a cooperative MARL problem to improve efficiency and fidelity.

Education
Nanjing University
2023.09 - present

M.Sc. in Computer Science and Technology
Advisor: Prof. Yang Yu
Nanjing University
2019.08 - 2023.07

B.E. in Artificial Intelligence
Advisor: Prof. Yang Yu
Awards & Honors
  • National Scholarship, 2024. [link]
  • Best Paper Award of The Fifth Distributed Artificial Intelligence Conference (DAI), 2023.
  • Outstanding Graduate & Bachelor's Thesis of Nanjing University, 2023.
  • The Egret Scholarship, 2022.
  • The People's Scholarship, 2021, 2020.
Service
  • Reviewer: NeurIPS (2025), COLM (2025), ICML (2025), ICLR (2025), IEEE TETCI.
Teaching Assistant
Miscellaneous
  • I have the fortune to work with brilliant people during my research journey and I am truly grateful for their guidance and help!
  • My Chinese name, 李立和 (Li Lihe), can be pronounced as /liː ˈliː hɜː/ in Mandarin or /lei ˈlʌb wɔː/ in Cantonese. 李 is one of the most common surnames in China, 立 means "stand" or "establish", and 和 means "harmony" and "peace".
  • I enjoy singing and I am a Tenor of the Nanjing University Chorus🎼. I was even awarded as an Outstanding Person in the first year😆!
  • I enjoy working out, like going to the gym💪 and playing basketball🏀. I've been crazy about Prince lately.
  • This website template was stolen from my good friend Zhaoxuan. Appreciate that🫡.

Template courtesy: Jon Barron.