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Policies and Value Functions – Good Actions for a Reinforcement Learning Agent

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Welcome back to this series on reinforcement learning! In this video, we’re going to pick up where we left off with Markov Decision Processes and discuss the topics of policies and value functions. This will give us a way to measure β€œhow good” it is for an agent to be in a given state or to select a given action.

Sources:
Reinforcement Learning: An Introduction, Second Edition by Richard S. Sutton and Andrew G. Bartow
http://incompleteideas.net/book/RLbook2020.pdf

Playing Atari with Deep Reinforcement Learning by Deep Mind Technologies
https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf

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