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TABLE OF CONTENTS16 sections

Reinforcement Learning

01Reinforcement Learning 02Reinforcement Learning Foundations 03Markov Decision Processes And Bellman Theory 04Multi Armed Bandits And Exploration 05Dynamic Programming And Planning 06Monte Carlo Methods 07Temporal Difference Learning 08Function Approximation And Scalable Rl 09Policy Gradient And Actorcritic Methods 10Deep Reinforcement Learning 11Model Based Reinforcement Learning 12Complex Decision Environments 13Offline Imitation And Safe Reinforcement Learning 14Rl Experimentation Analytics And Engineering 15Industrial And Managerial Applications 16Ethics Governance And Future Directions

Chapter 6

Temporal Difference Learning

PREVIOUS SECTIONMonte Carlo Methods UP NEXTFunction Approximation And Scalable Rl

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