19 search results - page 2 / 4 » Reinforcement Learning of Local Shape in the Game of Go |
ACG
2003
Springer
13 years 10 months ago
2003
Springer
In this article a neural network architecture is presented that is able to build a soft segmentation of a two-dimensional input. This network architecture is applied to position ev...
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
Tetris is a falling block game where the player’s objective is to arrange a sequence of different shaped tetrominoes smoothly in order to survive. In the intelligence games, ag...
ICANN
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. Developing superior artificial board-game players is a widelystudied area of Artificial Intelligence. Among the most challenging games is the Asian game of Go, which, des...
CEC
2010
IEEE
13 years 5 months ago
2010
IEEE
—In this paper we apply Coevolutionary Temporal Difference Learning (CTDL), a hybrid of coevolutionary search and reinforcement learning proposed in our former study, to evolve s...
FLAIRS
2008
13 years 7 months ago
2008
In the paper, we investigate the use of reinforcement learning in CBR for estimating and managing a legacy case base for playing the game of Tetris. Each case corresponds to a loc...