👩🏾‍🏫 and Actor-Critic

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The Actor-Critic Method, a reinforcement learning technique, uses two models: the actor, which makes decisions based on a policy, and the critic, which evaluates these decisions. This method has been influential in fields such as autonomous vehicles, robotics, game AI, finance, healthcare, energy management, natural language processing, and supply chain optimization. Despite its complexity and potential for instability, the Actor-Critic Method is a powerful tool in AI learning, combining the strengths of policy-based and value-based approaches.

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