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The Reinforcement Learning Workshop

You're reading from  The Reinforcement Learning Workshop

Product type Book
Published in Aug 2020
Publisher Packt
ISBN-13 9781800200456
Pages 822 pages
Edition 1st Edition
Languages
Authors (9):
Alessandro Palmas Alessandro Palmas
Profile icon Alessandro Palmas
Emanuele Ghelfi Emanuele Ghelfi
Profile icon Emanuele Ghelfi
Dr. Alexandra Galina Petre Dr. Alexandra Galina Petre
Profile icon Dr. Alexandra Galina Petre
Mayur Kulkarni Mayur Kulkarni
Profile icon Mayur Kulkarni
Anand N.S. Anand N.S.
Profile icon Anand N.S.
Quan Nguyen Quan Nguyen
Profile icon Quan Nguyen
Aritra Sen Aritra Sen
Profile icon Aritra Sen
Anthony So Anthony So
Profile icon Anthony So
Saikat Basak Saikat Basak
Profile icon Saikat Basak
View More author details
Toc

Table of Contents (14) Chapters close

Preface
1. Introduction to Reinforcement Learning 2. Markov Decision Processes and Bellman Equations 3. Deep Learning in Practice with TensorFlow 2 4. Getting Started with OpenAI and TensorFlow for Reinforcement Learning 5. Dynamic Programming 6. Monte Carlo Methods 7. Temporal Difference Learning 8. The Multi-Armed Bandit Problem 9. What Is Deep Q-Learning? 10. Playing an Atari Game with Deep Recurrent Q-Networks 11. Policy-Based Methods for Reinforcement Learning 12. Evolutionary Strategies for RL Appendix

Understanding Monte Carlo with Blackjack

Blackjack is a simple card game that is quite popular in casinos. It is a great game, as it is simple to simulate and take samples, and lends itself to Monte Carlo methods. Blackjack is also available as part of the OpenAI framework. Players and the dealer are dealt two cards each. The dealer shows one card face up and lays the other card face down. The players and the dealer have a choice of whether to be dealt additional cards or not:

  • The aim of the game: To obtain cards whose sum is close to or equal to 21 but not greater than 21.
  • Players: There are two players, called the player and the dealer.
  • The start of the game: The player is dealt with two cards. The dealer is also dealt with two cards, and the rest of the cards are pooled into a stack. One of the dealer's cards is shown to the player.
  • Possible actionsstick or hit: "Stick" is to stop asking for more cards. "Hit" is to ask for more...
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