Tag: Reinforcement

April 9, 2023

Reinforcement Learning for Sequential Decision and Optimal Control

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Free Download Reinforcement Learning for Sequential Decision and Optimal Control
English | 2023 | ISBN: 9811977836 | 484 Pages | PDF (True) | 23 MB
Have you ever wondered how AlphaZero learns to defeat the top human Go players? Do you have any clues about how an autonomous driving system can gradually develop self-driving skills beyond normal drivers? What is the key that enables AlphaStar to make decisions in Starcraft, a notoriously difficult strategy game that has partial information and complex rules? The core mechanism underlying those recent technical breakthroughs is reinforcement learning (RL), a theory that can help an agent to develop the self-evolution ability through continuing environment interactions. In the past few years, the AI community has witnessed phenomenal success of reinforcement learning in various fields, including chess games, computer games and robotic control. RL is also considered to be a promising and powerful tool to create general artificial intelligence in the future.

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February 28, 2023

Reinforcement Learning and Stochastic Optimization

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Free Download Reinforcement Learning and Stochastic Optimization : A Unified Framework for Sequential Decisions
English | 2022 | ISBN: 1119815037 | 1133 Pages | True EPUB | 67 MB
Sequential decision problems, which consist of "decision, information, decision, information," are ubiquitous, spanning virtually every human activity ranging from business applications, health (personal and public health, and medical decision making), energy, the sciences, all fields of engineering, finance, and e-commerce. The diversity of applications attracted the attention of at least 15 distinct fields of research, using eight distinct notational systems which produced a vast array of analytical tools. A byproduct is that powerful tools developed in one community may be unknown to other communities.

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February 4, 2023

Practical Deep Reinforcement Learning with Python

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Practical Deep Reinforcement Learning with Python: Concise Implementation of Algorithms, Simplified Maths, and Effective Use of TensorFlow and PyTorch (English Edition) by Ivan Gridin
English | July 15, 2022 | ISBN: 9355512058 | 398 pages | PDF (Converted) | 8.76 Mb
Introducing Practical Smart Agents Development using Python, PyTorch, and TensorFlow

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January 19, 2023

Reinforcement Learning Industrial Applications of Intelligent Agents

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Reinforcement Learning: Industrial Applications of Intelligent Agents by Phil Winder Ph. D.
English | December 1, 2020 | ISBN: 1098114833 | 408 pages | MOBI | 9.61 Mb
Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional machine learning (ML) algorithms. This practical book shows data science and AI professionals how to learn by reinforcement and enable a machine to learn by itself.

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