Deep Reinforcement Learning with Python - Second Edition

Deep Reinforcement Learning with Python - Second Edition

Author: SUDHARSAN. RAVICHANDIRAN

Publisher:

ISBN: 1839210680

Category:

Page: 760

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Deep Reinforcement Learning with Python - Second Edition will help you learn reinforcement learning algorithms, techniques and architectures - including deep reinforcement learning - from scratch. This new edition is an extensive update of the original, reflecting the state-of-the-art latest thinking in reinforcement learning.
Deep Reinforcement Learning with Python - Second Edition
Language: en
Pages: 760
Authors: SUDHARSAN. RAVICHANDIRAN
Categories:
Type: BOOK - Published: 2020-09-30 - Publisher:

Deep Reinforcement Learning with Python - Second Edition will help you learn reinforcement learning algorithms, techniques and architectures - including deep reinforcement learning - from scratch. This new edition is an extensive update of the original, reflecting the state-of-the-art latest thinking in reinforcement learning.
Hands-On Reinforcement Learning with Python
Language: en
Pages: 318
Authors: Sudharsan Ravichandiran
Categories: Computers
Type: BOOK - Published: 2018-06-28 - Publisher: Packt Publishing Ltd

Reinforcement learning is a self-evolving type of machine learning that takes us closer to achieving true artificial intelligence. This easy-to-follow guide explains everything from scratch using rich examples written in Python.
Mastering Reinforcement Learning with Python
Language: en
Pages: 544
Authors: Enes Bilgin
Categories: Computers
Type: BOOK - Published: 2020-12-18 - Publisher: Packt Publishing Ltd

Get hands-on experience in creating state-of-the-art reinforcement learning agents using TensorFlow and RLlib to solve complex real-world business and industry problems with the help of expert tips and best practices Key FeaturesUnderstand how large-scale state-of-the-art RL algorithms and approaches workApply RL to solve complex problems in marketing, robotics, supply chain,
Deep Reinforcement Learning with Python
Language: en
Pages: 760
Authors: Sudharsan Ravichandiran
Categories: Mathematics
Type: BOOK - Published: 2020-09-30 - Publisher: Packt Publishing Ltd

An example-rich guide for beginners to start their reinforcement and deep reinforcement learning journey with state-of-the-art distinct algorithms Key FeaturesCovers a vast spectrum of basic-to-advanced RL algorithms with mathematical explanations of each algorithmLearn how to implement algorithms with code by following examples with line-by-line explanationsExplore the latest RL methodologies such
Practical Deep Reinforcement Learning with Python
Language: en
Pages: 398
Authors: Ivan Gridin
Categories: Computers
Type: BOOK - Published: 2022-07-15 - Publisher: BPB Publications

Introducing Practical Smart Agents Development using Python, PyTorch, and TensorFlow KEY FEATURES ● Exposure to well-known RL techniques, including Monte-Carlo, Deep Q-Learning, Policy Gradient, and Actor-Critical. ● Hands-on experience with TensorFlow and PyTorch on Reinforcement Learning projects. ● Everything is concise, up-to-date, and visually explained with simplified mathematics. DESCRIPTION Reinforcement