One of the most active study topics in artificial intelligence is reinforcement learning, which is a computational method to learning in which an agent strives to maximize the overall amount of reward it receives while interacting with a complicated, unpredictable environment. Richard Sutton and Andrew Barto’s Reinforcement Learning provides a clear and basic introduction of the field’s core theories and techniques. This second version has been extensively enlarged and updated, with new topics included and existing ones updated.