Construct · 1 fields · 1 citations

soft actor-critic: a standalone construct

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Reinforcement learning (machine learning)

an off-policy actor-critic method that maximizes expected reward plus policy entropy, encouraging exploration and stable learning.

In reinforcement learning (machine learning), soft actor-critic refers to an off-policy actor-critic method that maximizes expected reward plus policy entropy, encouraging exploration and stable learning. This meaning comes from Haarnoja (2018) in arXiv.[1]

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entropy6 fields · 12 citationsjingle · one name, six constructs actor-critic1 fields · 1 citationsanchor · a standalone construct learning6 fields · 14 citationsjingle · one name, six constructs

References

Haarnoja, T., Zhou, A., Abbeel, P., & Levine, S. (2018). Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor. arXiv. https://doi.org/10.48550/arxiv.1801.01290

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