Soft Actor-Critic Algorithms and Applications

arXiv: Learning, Volume abs/1812.05905, 2018.

Cited by: 170|Bibtex|Views99
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Model-free deep reinforcement learning (RL) algorithms have been successfully applied to a range of challenging sequential decision making and control tasks. However, these methods typically suffer from two major challenges: high sample complexity and brittleness to hyperparameters. Both of these challenges limit the applicability of such...More

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