Temporal Difference Learning of an Othello Evaluation Function for a Small Neural Network with Shared Weights

Author

Manning, Edward P.

Author_Institution

Brookdale Community Coll., Lincroft, NJ

fYear

2007

fDate

1-5 April 2007

Firstpage

216

Lastpage

223

Abstract

This paper presents an artificial neural network with shared weights, trained to play the game of Othello by self-play with temporal difference learning (TDL). The network performs as well as the champion of the CEC 2006 Othello Evaluation Function Competition. The TDL-trained network contains only 67 unique weights compared to 2113 for the champion

Keywords

computer games; learning (artificial intelligence); neural nets; Othello evaluation function; artificial neural network; self-play; temporal difference learning; Artificial neural networks; Computational intelligence; Educational institutions; Humans; Law; Legal factors; Neural networks; Performance evaluation; State-space methods; USA Councils; Othello; neural network; shared weights; temporal difference learning;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Games, 2007. CIG 2007. IEEE Symposium on

Conference_Location

Honolulu, HI

Print_ISBN

1-4244-0709-5

Type

conf

DOI

10.1109/CIG.2007.368101

Filename

4219046

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2716106