Description: The package is the code for Anomaly Guided Policy Learning from Imperfect Demonstrations in AAMAS 22'. This code is developed based on OpenAI baseline
[1]. We also support environments from DeepMind Control Suite (dm-control)
[2].
References:
[1] Prafulla Dhariwal, Christopher Hesse, Oleg Klimov, Alex Nichol, Matthias Plappert, AlecRadford, John Schulman, Szymon Sidor, Yuhuai Wu, and Peter Zhokhov. 2017. OpenAIBaselines.https://github.com/openai/baselines.
[2] Yuval Tassa, Yotam Doron, Alistair Muldal, Tom Erez, Yazhe Li, Diego de LasCasas, David Budden, Abbas Abdolmaleki, Josh Merel, Andrew Lefrancq, et al.2018. Deepmind control suite.arXiv preprint arXiv:1801.00690(2018).
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 was developed by
Zi-Xuan Chen and
Xin-Qiang Cai. For any problem concerning the code, please feel free to contact us.
Requirement: See installation instruction from
[1] and
[2]Download: [
code] (100.00MB)