This book covers most of the areas of DRL with a special focus on its mathematical and algorithmic foundations. It is a useful guide for undergraduate and early graduate students to the fast-developing areas of DRL and its myriad applications.
This book covers most of the areas of DRL with a special focus on its mathematical and algorithmic foundations. It is a useful guide for undergraduate and early graduate students to the fast-developing areas of DRL and its myriad applications.
Vinod K. Mishra received a Ph.D. in Theoretical Physics from the State University of New York (SUNY) at Stony Brook. After gaining some academic teaching and research experience, he joined Lucent Technology Bell Labs and later became a research scientist at US Army Research Laboratory. His areas of primary interest are quantum information science, artificial intelligence, and machine learning. He is the author of An Introduction to Quantum Communication and Software Defined Networks.
Inhaltsangabe
1. Introduction 2. Survey of ML 3. Basic Mathematics behind Deep Reinforcement Learning 4. Single-Agent Algorithms 5. Multi-Agent RL (MARL) Algorithms 6. Recent Developments in DRL 7. Applications of RL
