Questions tagged [reinforcement-learning]

Area of machine learning concerned with how software agents ought to take actions in an environment so as to maximize some notion of cumulative reward.

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Actor-critic architecture: How is the policy updated?

I am going through the ddpg baseline code to try and gain an intuitive understanding of how the actor and critic networks function. DDPG has two components: the actor which is the deterministic ...