Dynamic Programming in Reinforcement Learning

Dynamic Programming in Reinforcement Learning

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This episode gives an insight into the one commonly used method in field of Reinforcement Learning, Dynamic Programming.
We discuss:
– Dynamic Programming: Introduction
– Policy Evaluation
– Policy Improvement
– Policy Iteration
– Value Iteration
– Asynchronous Dynamic Programming

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Introduction to Reinforcement Learning : https://www.youtube.com/watch?v=-GkwGSYOW5A

Code : https://github.com/prajjwal1/reinforcement/

References: Reinforcement Learning by Sutton et al.
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Dynamic Programming in Reinforcement Learning