Reinforcement Learning

An Introduction

Recommended by Zachary Lipton, and 1 others. See all reviews

Ranked #1 in Reinforcement Learning, Ranked #13 in Machine Learningsee more rankings.

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence.

Reinforcement learning, 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 interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This...

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Zachary Lipton @innerproduct 1. Tor Lattimore Great book work on bandits ( and work on causality + bandits ( 2. Caroline Uhler — Interesting work on causal inference + discovery, causal inference under measurement error etc ( (Source)

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