Found 3 document(s)
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The purpose of the book is to give an overview of the Reinforcement Learning (RL) methodology, with a particular focus on problems of optimal and suboptimal control, as well as discrete optimization....
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Reinforcement Learning (RL), one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while inter...
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An insightful, concise, and rigorous treatment of the basic theory of convex sets and functions in finite dimensions, and the analytical/geometrical foundations of convex optimization and duality theory....
