Foundations of Reinforcement Learning

Reinforcement learning (RL) has been in the limelight of many recent breakthroughs in artificial intelligence. This course focuses on theoretical and algorithmic foundations of reinforcement learning, through the lens of optimization, modern approximation, and learning theory. The course targets M.S. students with strong research interests in reinforcement learning, optimization, and control.

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Reinforcement learning

An introduction

Richard S. Sutton and Andrew G. Barto

Signature Year Rack/Shelf Lecture Return Date Status
Textbook.M.102.01.1 2018 10 / 3 Foundations of Reinforcement Learning Unavailable
Textbook.M.102.01.2 2018 10 / 3 Foundations of Reinforcement Learning Unavailable