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Reinforcement Learning is all you need. Or is it? (Ep. 165)

Data Science at Home

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Reinforcement Learning in a Maze Environment

This chapter discusses the concept of reinforcement learning using an example of a mouse and a cat in a maze environment. It explains how the agent can perform actions, the environment responds with a new state and reward, and how obstacles and other agents can complicate the environment.

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