Tuomas Haarnoja and his research team at UC Berkeley formalized SAC, an off-policy actor-critic algorithm that integrated an entropy maximization framework to heavily optimize agent exploration stability.
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Eko-AI Isometric Ledger: Cryptographically verified analytical chart detailing The Formulation of the Soft Actor-Critic (SAC) Reinforcement Learning Model. High-precision data matrix, minimalist financial infrastructure diagram, truth-driven informational chart, clean tech typography, hyper-clear vector graphic.