Stefano V. Albrecht, Filippos Christianos

Gebundenes Buch

Multi-Agent Reinforcement Learning

Foundations and Modern Approaches

Beschreibung

"This book provides an accessible technical introduction to the field of Multi-Agent Reinforcement Learning (MARL)"--

Autor

Stefano V. Albrecht is Associate Professor in the School of Informatics at the University of Edinburgh, where he leads the Autonomous Agents Research Group. His research focuses on the development of machine learning algorithms for autonomous systems control and decision making, with a particular focus on deep reinforcement learning and multi-agent interaction. Filippos Christianos is a research scientist in multi-agent deep reinforcement learning focusing on how MARL algorithms can be used efficiently and the author of multiple popular MARL-focused code libraries.  Lukas Schäfer is a researcher focusing on the development of more generalizable, robust, and sample-efficient decision making using deep reinforcement learning, with a particular focus on multi-agent reinforcement learning.

Produktdetails

• Verlag: MIT Press Ltd
• Seitenzahl: 394
• Erscheinungstermin: 17. Dezember 2024
• Englisch
• Abmessung: 230mm x 159mm x 29mm
• Gewicht: 760g
• ISBN-13: 9780262049375
• ISBN-10: 0262049376
• Artikelnr.: 71703105