Liu, Zhihao

Liu, Zhihao

Ph.D.

Multi-Agent Reinforcement Learning Large Language Model for Reinforcement Learning Embodied AI
Ph.D. Candidate (supervisor: Prof. Yu Chao & Prof. Guoliang Fan)
Zhongguancun Academy & Insitute of Automation, Chinese Academy of Sciences | 2022-Present
B.Eng.
Wuhan University | 2018-2022

Welcome! I’m Liu Zhihao (刘志豪), a third-year Ph.D. student at the Institute of Automation, Chinese Academy of Sciences(CASIA), advised by Prof. Fan Gulling. Recently, I am about to join the joint training program at Zhongguancun Academy in Beijing, under the supervision of Prof. Yu Chao. Currently my research focuses on reinforcement learning, multi-agent system, and large language model agents. In the future, I will focus on research related to reinforcement learning and vision-language-action models and embodied intelligence.

Knowing What Not to Do: Leverage Language Model Insights for Action Space Pruning in Multi-agent Reinforcement Learning

Zhihao Liu, Xianliang Yang, Zichuan Liu, Yifan Xia, Wei Jiang, Yuanyu Zhang, Lijuan Li, Guoliang Fan, Lei Song, Jiang Bian

Transactions on Machine Learning Research (TMLR), 2025

Rethinking Post-hoc Search-based Neural Approaches for Solving Large-Scale Traveling Salesman Problems

Yifan Xia, Xianliang Yang, Zichuan Liu, Zhihao Liu, Lei Song, Jiang Bian

ICML 2024, 2024

Hierarchical Multi-Agent Reinforcement Learning with Intrinsic Reward Rectification

Zhihao Liu, Zhiwei Xu, and Guoliang Fan

ICASSP 2023, 2023

A Versatile Multi-Agent Reinforcement Learning Benchmark for Inventory Management

Xianliang Yang, Zhihao Liu, Wei Jiang, Chuheng Zhang, Li Zhao, Lei Song, Jiang Bian

arXiv preprint arXiv:2306.07542, 2023