Reinforcement Learning
An Introduction
Recommended by Zachary Lipton, and 1 others. See all reviewsRanked #1 in Reinforcement Learning, Ranked #13 in Machine Learning — see 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... more
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... more
Reviews and Recommendations
We've comprehensively compiled reviews of Reinforcement Learning from the world's leading experts.
Zachary Lipton @innerproduct 1. Tor Lattimore Great book work on bandits (https://t.co/gttspSm40W) and work on causality + bandits (https://t.co/lkwvtEiKvE) 2. Caroline Uhler — Interesting work on causal inference + discovery, causal inference under measurement error etc (https://t.co/I3IRpwmdMd) (Source)
Rankings by Category
Reinforcement Learning is ranked in the following categories:
- #49 in Artificial Intelligence
- #86 in Data Science
- #33 in Deep Learning
- #66 in Game Theory
Similar Books
If you like Reinforcement Learning, check out these similar top-rated books:
