Reinforcement Learning: An Introduction

me@ryanorban.com (Ryan Orban) — Wed, 27 Apr 2022 00:00:00 +0000

Summary

Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto (MIT Press, 2nd ed., 2018) is the canonical textbook for the field. It defines the vocabulary, formalizes the core problems, and develops the algorithmic solutions that all subsequent RL work builds on. The second edition, available free online, extended coverage through deep reinforcement learning and policy gradient methods, bringing the book current with the AlphaGo-era explosion of the field.

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Reinforcement Learning: An Introduction

Summary