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Advanced Practical Reinforcement Learning TensorFlow|packtpub com

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Course Description

Beyond the agent and the environment, one can identify four main subelements of a reinforcement learning system: a policy, a reward function, a value function, and, optionally, a model of the environment. A policy defines the learning agent's way of behaving at a given time.
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