This handbook presents state-of-the-art research in reinforcement learning, focusing on its applications in the control and game theory of dynamic systems and f

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

A complete resource to Approximate Dynamic Programming (ADP), including on-line simulation code Provides a tutorial that readers can use to start implementing t

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

Leverage the power of Tensorflow to Create powerful software agents that can self-learn to perform real-world tasks Key FeaturesExplore efficient Reinforcement