The purpose of this book is to develop in greater depth some of the methods from the author's Reinforcement Learning and Optimal Control recently published text

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intellig

This book examines Gaussian processes in both model-based reinforcement learning (RL) and inference in nonlinear dynamic systems.First, we introduce PILCO, a fu

From household appliances to applications in robotics, engineered systems involving complex dynamics can only be as effective as the algorithms that control the