Reinforcement Learning: Bounded Rationality, Markov Decision Process, Dynamic Programming, Supervised Learning, Training Let, Inductive Bias, Concept Learning, Handwriting Recognition - Tapa blanda

Sinopsis

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Inspired by related psychological theory, in computer science, reinforcement learning is a sub-area of machine learning concerned with how an agent ought to take actions in an environment so as to maximize some notion of long-term reward. Reinforcement learning algorithms attempt to find a policy that maps states of the world to the actions the agent ought to take in those states. In economics and game theory, reinforcement learning is considered as a boundedly rational interpretation of how equilibrium may arise.

"Sinopsis" puede pertenecer a otra edición de este libro.