Author

Denis Zorba

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#machine learning Preprint Sep 2026

An analysis of Mirror-Descent Soft Actor-Critic

Soft Actor-Critic (SAC) is widely used for entropy-regularised reinforcement learning with continuous action spaces, and practical implementations perform only a few actor steps towards an evolving target. In this work, we prove convergence guarantees when the target policy arises from policy mirror descent and compare...

Denis Zorba, Michal Valko · 0 citations