Genetically programmed strategies for chess endgame

By Nicolas Lassabe, Stéphane Sanchez, Hervé Luga, Yves Duthen. 2006

18 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Economics and Econometrics

How researchers see this paper

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

In Artificial Intelligence

1. Matthew Lai
2. Peter W. Battaglia

In Economics and Econometrics

1. Matthew Lai

Citations in the corpus

• Giraffe: Using Deep Reinforcement Learning to Play Chess (2015, background): “Most attempts in this area use genetic programming [11] [12], and inductive learning [13].”