Richard S. Sutton is a distinguished professor and researcher at the forefront of artificial intelligence and reinforcement learning. His academic and industry roles underscore his significant contributions to understanding how intelligent agents learn and interact with their environments. Sutton's work delves into the fundamental principles of learning, aiming to create more capable and adaptable artificial intelligence.
An account of key ideas and algorithms in reinforcement learning. The discussion ranges from the history of the field's intellectual foundations to recent developments and applications. Areas studied include reinforcement learning problems in terms of Markov decision problems and solution methods.