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 = {may}, 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} }
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