A STRATEGIC METAGAME PLAYER FOR GENERAL CHESS‐LIKE GAMES

By Barney Pell. 1994

Subfields: Reinforcement Learning

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

Citations in the corpus

• Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm (2017, background): “However, these systems are highly tuned to their domain, and cannot be generalised to other problems without significant human effort, while general game-playing systems (12, 25) remain comparatively weak.”
• Simulation-Based Approach to General Game Playing (2008, background): “One of the first general game-playing systems was Pell’s METAGAMER (Pell 1996), which played a wide variety of simplified chess-like games.”
• Measuring universal intelligence: Towards an anytime intelligence test (2010, background): “For instance, Metagame [54][55] is a generalisation of symmetric chess-like games, which uses generative grammars to create many new games within a family or class of games.”