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Deep reinforcement learning with Python with Pytorch, Tensorflow and OpenAI Gym

Deep reinforcement learning is a fast-growing discipline that is making a significant impact in fields of autonomous vehicles, robotics, healthcare, finance, and many more. This book covers deep reinforcement learning using deep-q learning and policy gradient models with coding exercise. You'll...

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Bibliographic Details
Main Author:	Sanghi, Nimish
Format:	eBook
Language:	English
Published:	[Place of publication not identified] Apress 2021
Subjects:	Python (computer Program Language) / Fast Python (computer Program Language) / Http://id.loc.gov/authorities/subjects/sh96008834 Reinforcement Learning / Fast Apprentissage Par Renforcement (intelligence Artificielle) Python (langage De Programmation) Reinforcement Learning / Http://id.loc.gov/authorities/subjects/sh92000704
Online Access:	https://learning.oreilly.com/library/view/~/978148...
Collection:	O'Reilly - Collection details see MPG.ReNa

Table of Contents:

Chapter 1: Introduction to Deep Reinforcement Learning
Chapter 2: Markov Decision Processes
Chapter 3: Model Based Algorithms
Chapter 4: Model Free Approaches
Chapter 5: Function Approximation
Chapter 6:Deep Q-Learning
Chapter 7: Policy Gradient Algorithms
Chapter 8: Combining Policy Gradients and Q-Learning
Chapter 9: Integrated Learning and Planning
Chapter 10: Further Exploration and Next Steps

Deep reinforcement learning with Python with Pytorch, Tensorflow and OpenAI Gym

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