Episode 28: Reinforcement Learning and Q-Learning
The Theory of Anything
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Explaining Key Concepts in Reinforcement Learning
This chapter provides an overview of important concepts in reinforcement learning, including value reward, goal function, reward function, value function, transition function, and Q function. It discusses how these concepts are used to solve problems without knowing the transition and reward functions. The chapter also emphasizes the potential of reinforcement learning as a general learning algorithm.
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