Reinforcement learning is a learning paradigm concerned with learning to control a system so as to maximize a numerical performance measure that expresses a lon

This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based learning and control, in

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

Develop self-learning algorithms and agents using TensorFlow and other Python tools, frameworks, and libraries Key FeaturesLearn, develop, and deploy advanced r

Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to ach