a reinforcement approach Schwartz, Howard M. Primary Author mixed material bibliography Hoboken, New Jersey Wiley 2014 en English

Text

xi, 242 pages : illustrations ; 25 cm "Multi-Agent Machine Learning: A Reinforcement Learning Approach is a framework to understanding different methods and approaches in multi-agent machine learning. It also provides cohesive coverage of the latest advances in multi-agent differential games and presents applications in game theory and robotics. Framework for understanding a variety of methods and approaches in multi-agent machine learning. Machine learning Reinforcement learning Swarm intelligence Differential games 519.3 9781118362082 e-Library Universitas Pertamina Be Global Leader 519.3 SCH m 9304/PUP/2020 Perpustakaan Universitas Pertamina 519.3 SCH m c.1 NAB_20220530_10.jpg 5077 2022-05-30 12:06:29 2023-02-01 16:11:38 machine generated