Search Results

A Markov Decision Process (MDP) is a natural framework for formulating sequential decision-making problems under uncertainty. In recent years, researchers have

This tutorial reviews techniques for planning and learning in Markov Decision Processes (MDPs) with linear function approximation of the value function. Two maj

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

Discover techniques for inferring unknown variables and quantities with the second volume of this extraordinary three-volume set.

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