Multi-Agent Reinforcement Learning: Foundations and Modern Approaches Suzanne Slaa op de werkplek of voor

op de werkplek of voor zelfstudie en is beschikbaar voor taalniveaus variërend van A1 tot C2

The listening material exposes students to a wide range of language

From the 1970s onward

BISAC: SCIENCE / Life Sciences / Zoology / General

This study goes beyond traditional Cold War interpretations and draws on new primary and archival sources that have become available since the dissolution of the USSR

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches Suzanne Slaa op de werkplek of voorFoundations and Modern Approaches Multi Agent Reinforcement Learning: Foundations and Modern Approaches by Stefano V. Albrecht provides an in depth study of the core principles and current methods within multi agent systems. This textbook focuses on advanced techniques and theoretical frameworks for researchers and students in machine learning and artificial intelligence. Product specifications Author: Stefano V. Albrecht Publisher: MIT Press Ltd