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» Playing games with approximation algorithms
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CEC
2005
IEEE
14 years 1 months ago
Evolutionary Solo Pong players
An Internet Java Applet http://www.cs.essex.ac.uk/staff/poli/ SoloPong/ allows users anywhere to play the Solo Pong game. We compare people’s performance to a hand coded “Optim...
William B. Langdon, Riccardo Poli
AAAI
1994
13 years 9 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
CORR
2008
Springer
154views Education» more  CORR 2008»
13 years 7 months ago
Best-Effort Strategies for Losing States
We consider games played on finite graphs, whose goal is to obtain a trace belonging to a given set of winning traces. We focus on those states from which Player 1 cannot force a w...
Marco Faella
ATAL
2007
Springer
14 years 1 months ago
Effective tag mechanisms for evolving coordination
Tags or observable features shared by a group of similar agents are effectively used in real and artificial societies to signal intentions and can be used to infer unobservable ...
Matthew Matlock, Sandip Sen
NIPS
2007
13 years 9 months ago
TrueSkill Through Time: Revisiting the History of Chess
We extend the Bayesian skill rating system TrueSkill to infer entire time series of skills of players by smoothing through time instead of filtering. The skill of each participat...
Pierre Dangauthier, Ralf Herbrich, Tom Minka, Thor...