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.
Updates
- Sept 2023 2 papers has been accpeted to Neurips 2023
- Jan 2023 Decision Transformer under Random Frame Droping (DeFog) has been accpeted to ICLR 2023
- Jan 2023 Extraneousness-aware Imitation Learning (EIL) has been accpeted to ICRA 2023
- Sept 2022 I started my PhD at Tsinghua University, advised by Prof. Huazhe Xu
Research
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