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» Playing games with approximation algorithms
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CIG
2005
IEEE
14 years 1 months ago
Nannon: A Nano Backgammon for Machine Learning Research
A newly designed game is introduced, which feels like Backgammon, but has a simplified rule set. Unlike earlier attempts at simplifying the game, Nannon maintains enough features a...
Jordan B. Pollack
COCO
2008
Springer
74views Algorithms» more  COCO 2008»
13 years 9 months ago
Approximation Resistant Predicates from Pairwise Independence
We study the approximability of predicates on k variables from a domain [q], and give a new sufficient condition for such predicates to be approximation resistant under the Unique...
Per Austrin, Elchanan Mossel
SBRN
2002
IEEE
14 years 19 days ago
Neural Connect 4 - A Connectionist Approach to the Game
This article presents the system “Neural Connect 4”, a program that plays the game Connect Four. This system employs the multilayer perceptron architecture which is learning t...
Marvin Oliver Schneider, João Luís G...
ICML
2003
IEEE
14 years 8 months ago
Learning To Cooperate in a Social Dilemma: A Satisficing Approach to Bargaining
Learning in many multi-agent settings is inherently repeated play. This calls into question the naive application of single play Nash equilibria in multi-agent learning and sugges...
Jeff L. Stimpson, Michael A. Goodrich
AI
2004
Springer
13 years 7 months ago
Efficient learning equilibrium
Efficient Learning Equilibrium (ELE) is a natural solution concept for multi-agent encounters with incomplete information. It requires the learning algorithms themselves to be in ...
Ronen I. Brafman, Moshe Tennenholtz