Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration (bibtex)
by Anji Liu, Yitao Liang and Guy Van den Broeck
Reference:
Anji Liu, Yitao Liang and Guy Van den Broeck. Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration, In Proceedings of the 19th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2020.
Bibtex Entry:
@inproceedings{LiuAAMAS20,
author = {Liu, Anji and Liang, Yitao and Van den Broeck, Guy},
title = {Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration},
booktitle = {Proceedings of the 19th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS)},
month = 5,
year = {2020},
url = "http://starai.cs.ucla.edu/papers/LiuAAMAS20.pdf",
slides = "http://starai.cs.ucla.edu/slides/LiuAAMAS20.pdf",
video = "https://underline.io/lecture/275-off-policy-deep-reinforcement-learning-with-analogous-disentangled-exploration",
code = "https://github.com/UCLA-StarAI/Analogous-Disentangled-Actor-Critic",
keywords = {conference,selective}
}PDF Preview:
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