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» Neural Networks for State Evaluation in General Game Playing
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CIG
2005
IEEE
13 years 11 months ago
Evolving a Neural Network Location Evaluator to Play Ms. Pac-Man
Ms. Pac-Man is a challenging, classic arcade game with a certain cult status. This paper reports attempts to evolve a Pac-Man player, where the control algorithm uses a neural net...
Simon M. Lucas
AAAI
2008
13 years 8 months ago
Simulation-Based Approach to General Game Playing
The aim of General Game Playing (GGP) is to create intelligent agents that automatically learn how to play many different games at an expert level without any human intervention. ...
Hilmar Finnsson, Yngvi Björnsson
TCIAIG
2010
13 years 17 days ago
Combining UCT and Nested Monte Carlo Search for Single-Player General Game Playing
Monte-Carlo tree search has recently been very successful for game playing particularly for games where the evaluation of a state is difficult to compute, such as Go or General Gam...
Jean Méhat, Tristan Cazenave
AAAI
1994
13 years 7 months ago
Evolving Neural Networks to Focus Minimax Search
Neural networks were evolved through genetic algorithms to focus minimax search in the game of Othello. At each level of the search tree, the focus networks decide which moves are...
David E. Moriarty, Risto Miikkulainen
GROUP
2009
ACM
14 years 11 days ago
Usability heuristics for networked multiplayer games
Networked multiplayer games must support a much wider variety of interactions than single-player games because networked games involve communication and coordination between playe...
David Pinelle, Nelson Wong, Tadeusz Stach, Carl Gu...