Kaizhe Hu 胡 开哲

I'm a second year Computer Science PhD student at the Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University. Before that, I received my Bachelor's Degree at the Department of Electronic Engineering, Tsinghua University.

My premary interest of research is on memory-enabled intelligent agents that can serve human and adapt to their preferences. To that end, I've explored the area of offline RL and foundation models. I'm also interested in the application of Robotics.

I'm fortunate to be advised by Professor Huazhe(Harry) Xu.

Twitter / Github / Google Scholar



LfVoid: Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning?

Jialu Gao*, Kaizhe Hu*, Guowei Xu, Huazhe Xu,
Conference on Neural Information Processing Systems (Neurips) 2023, July 2023
Website  •   ArXiv

RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization

Zhecheng Yuan*, Sizhe Yang*, Pu Hua, Can Chang, Kaizhe Hu, Xiaolong Wang, Huazhe Xu,
Conference on Neural Information Processing Systems (Neurips) 2023 Datasets and Benchmarks Track, July 2023
Website  •   ArXiv  •   Code

DeFog: Decision Transformer under Random Frame Dropping

Kaizhe Hu*, Ray Chen Zheng* , Yang Gao, Huazhe Xu,
International Conference on Learning Representations (ICLR) 2023, Mar 2023
Website  •   ArXiv  •   Code

EIL: Extraneousness-Aware Imitation Learning

Ray Chen Zheng*, Kaizhe Hu*, Zhecheng Yuan, Boyuan Chen, Huazhe Xu,
International Conference on Robotics and Automation (ICRA), Jct 2022
Website  •   ArXiv  •   Code