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UAI
2004
15 years 6 months ago
Computing Nash Equilibria of Action-Graph Games
Action-graph games (AGGs) are a fully expressive game representation which can compactly express both strict and context-specific independence between players' utility functi...
Navin A. R. Bhat, Kevin Leyton-Brown
CSJM
2006
81views more  CSJM 2006»
15 years 5 months ago
Nash equilibria set computing in finite extended games
The Nash equilibria set (NES) is described as an intersection of graphs of best response mappings. The problem of NES computing for multi-matrix extended games is considered. A me...
Valeriu Ungureanu
AAI
2010
195views more  AAI 2010»
15 years 1 months ago
Automatic Extraction of Go Game Positions from Images: a Multi-Strategical Approach to Constrained Multi-Object Recognition
Here, we present a constrained object recognition task that has been robustly solved largely with simple machine learning methods, using a small corpus of about 100 images taken u...
Alexander K. Seewald
172
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TCIAIG
2010
14 years 11 months 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
2006
15 years 6 months ago
A Value Theory of Meta-Learning Algorithms
We use game theory to analyze meta-learning algorithms. The objective of meta-learning is to determine which algorithm to apply on a given task. This is an instance of a more gene...
Abraham Bagherjeiran