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Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Soft actor-critic is a stable off-policy actor-critic algorithm for deep reinforcement learning that achieves top performance on continuous control tasks.

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Year
2018
Venue
soft-actor-critic-off-policy-maximum-entropy-1
ArXiv
arxiv.org/abs/1801.01290
URL
arxiv.org/abs/1801.01290v2
Authors
4
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arxiv.org/abs/1801.01290v2ARXIV-DEFAULT
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Abstract

A platform for Applied Reinforcement Learning (Applied RL)

Authors

4
Pieter AbbeelSergey LevineTuomas HaarnojaAurick Zhou