Soft Actor-Critic Algorithms and Applications

Soft Actor-Critic (SAC) is an off-policy actor-critic deep reinforcement learning algorithm that incorporates entropy maximization, hyperparameter tuning, and stability improvements, achieving state-of-the-art performance on various tasks.