55 search results - page 1 / 11 » Neural Networks for State Evaluation in General Game Playing |
PKDD
2009
Springer
13 years 11 months ago
2009
Springer
Unlike traditional game playing, General Game Playing is concerned with agents capable of playing classes of games. Given the rules of an unknown game, the agent is supposed to pla...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
Opponent models are necessary in games where the game state is only partially known to the player, since the player must infer the state of the game based on the opponent’s acti...
ESANN
2008
13 years 6 months ago
2008
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
NIPS
1994
13 years 6 months ago
1994
This paper presents NeuroChess, a program which learns to play chess from the final outcome of games. NeuroChess learns chess board evaluation functions, represented by artificial...
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
A developmental model of neural network is presented and evaluated in the game of Checkers. The network is developed using cartesian genetic programs (CGP) as genotypes. Two agent...