CHINOOK: The World Man-Machine Checkers Champion

By Jonathan Schaeffer, R. Lake, Paul Lu, Martin Bryant. 1996

Subfields: Reinforcement Learning, Game & Decision Theory

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. Jakob N. Foerster
2. Sergey Levine
3. Yuxi Li
4. Marc G. Bellemare
5. Pieter Abbeel
6. Neil Burch
7. Shimon Whiteson
8. Michael H. Bowling

In Game & Decision Theory

1. Neil Burch
2. Marc Lanctot
3. Noam Brown
4. Tuomas Sandholm
5. Michael H. Bowling
6. Dustin Morrill
7. Michael Bradley Johanson
8. Viliam Lisý

Citations in the corpus

• DeepStack: Expert-level artificial intelligence in heads-up no-limit poker (2017, background): “, backgammon (1), checkers (2), chess (3), Jeopardy! (4), Atari video games (5), and go (6).”
• The Hanabi Challenge: A New Frontier for AI Research (2019, background): “Hanabi is different from the adversarial two-player zero-sum games where computers have reached super-human skill, e.g. , chess [9], checkers [10], go [11], backgammon [12] and two-player poker [13,14].”
• Evolving Agents for the Hanabi 2018 CIG Competition (2018, background): “However, traditionally most of the focus has been on competitive, perfect information games, such as Checkers [1], Chess [2] and Go [3].”