Stefano V. AlbrechtFilippos ChristianosLukas Schäfer

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches (Hardcover)

Name: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches (Hardcover)
Brand: Limitless Chapters
SKU: 9780262049375
Price: 66.50 USD
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Author

Stefano V. Albrecht, Filippos Christianos, and Lukas Schäfer

ISBN

9780262049375

Publication date

2024-12-17

Binding

Hardcover

About this edition

An introduction to the models, algorithms and challenges of reinforcement learning with multiple interacting agents.

This text develops the foundations of multi-agent reinforcement learning through reinforcement-learning theory, game models and solution concepts. It then connects these ideas with algorithmic approaches to learning in shared environments.

The coverage addresses both conceptual challenges and modern methods in the field. The book is a technical learning resource, not a software subscription or an implemented trading or robotics system.

What's included

- 1 copy of Multi-Agent Reinforcement Learning: Foundations and Modern Approaches (Hardcover)

More details

Title: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Authors: Stefano V. Albrecht; Filippos Christianos; Lukas Schäfer

ISBN: 9780262049375

Binding: Hardcover

Language: English

Pages: 396

Publication date: 2024-12-17

Number of books: 1

Weight (packed): 1.69 pounds

Dimensions (packed): 9.21 x 6.34 x 1.18 inches

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