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The document discusses reinforcement learning algorithms. It introduces Q-learning and the Bellman equation. It describes policy gradient methods and how the policy gradient can be estimated using trajectories sampled from the policy. It also discusses actor-critic methods that use both a policy network and value network, with the policy network optimized using the policy gradient and value networ

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