How Computers Play Chess

By David N. L. Levy, M. Newborn. 1990

Subfields: Reinforcement Learning, Algorithms & Complexity

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Reinforcement Learning

1. Sergey Levine
2. Pieter Abbeel
3. Timothy P. Lillicrap
4. Yuxi Li
5. David Silver
6. Jimmy Ba
7. Shimon Whiteson
8. R´emi Munos

In Algorithms & Complexity

1. David Silver
2. Thore Graepel
3. Marc Lanctot
4. Ioannis Antonoglou
5. Arthur Guez
6. Matthew Lai
7. Julian Schrittwieser
8. Demis Hassabis

Citations in the corpus

• Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm (2017, background): “ describe these augmentations, focusing on the 2016 Top Chess Engine Championship (TCEC) world-champion Stockfish (25); other strong chess programs, including Deep Blue, use very similar architectures (9,21). Shogi is a significantly harder game, in terms of computational complexity, than chess (2, 14”