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Neural Networks for Control
W Thomas Miller, Richard S Sutton, Paul J Werbos
Neural Networks for Control brings together examples of all the most important paradigms for the application of neural networks to robotics and control. Primarily concerned with engineering problems and approaches to their solution through neuroco...
Handbook of Learning and Approximate Dynamic Progr Amming
Jennie Si, Andrew G Barto, Warren B Powell, Don Wunsch
* A complete resource to Approximate Dynamic Programming (ADP), including on-line simulation code* Provides a tutorial that readers can use to start implementing the learning algorithms provided in the book* Includes ideas, directions, and recent ...
Bloggat om Reinforcement Learning
Andrew G. Barto is Professor of Computer Science at the University of Massachusetts.