Description: The package includes the Python code of HashReward which aims to deal with high-dimensional imitation learning problems.
Reference:
[1] Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou. Imitation Learning from Pixel-Level Demonstrations by HashReward. In: Proceedings of the 20th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'21), online, 2021.
ATTN: This package is free for academic usage. You can run it at your own risk. For other purposes, please contact
Prof. Zhi-Hua Zhou.
ATTN2: This package is developed by
Mr. Cai. The readme file roughly explains how to use the code. For any problem concerning the code, please feel free to contact
Mr. Cai.
Requirement: The package was developed with Python 3.5.
Download: [
code] (160.1MB)