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ECML
2006
Springer
14 years 22 days ago
Learning in One-Shot Strategic Form Games
Abstract. We propose a machine learning approach to action prediction in oneshot games. In contrast to the huge literature on learning in games where an agent's model is deduc...
Alon Altman, Avivit Bercovici-Boden, Moshe Tennenh...
AAAI
2011
12 years 9 months ago
Reasoning About General Games Described in GDL-II
Recently the general Game Description Language (GDL) has been extended so as to cover arbitrary games with incomplete/imperfect information. Learning—without human interventionâ...
Stephan Schiffel, Michael Thielscher
CORR
2010
Springer
143views Education» more  CORR 2010»
13 years 9 months ago
Flows and Decompositions of Games: Harmonic and Potential Games
In this paper we introduce a novel flow representation for finite games in strategic form. This representation allows us to develop a canonical direct sum decomposition of an arbi...
Ozan Candogan, Ishai Menache, Asuman E. Ozdaglar, ...
CG
2006
Springer
13 years 11 months ago
Feature Construction for Reinforcement Learning in Hearts
Temporal difference (TD) learning has been used to learn strong evaluation functions in a variety of two-player games. TD-gammon illustrated how the combination of game tree search...
Nathan R. Sturtevant, Adam M. White
AAMAS
2007
Springer
13 years 9 months ago
An experts approach to strategy selection in multiagent meeting scheduling
Abstract. In the multiagent meeting scheduling problem, agents negotiate with each other on behalf of their users to schedule meetings. While a number of negotiation approaches hav...
Elisabeth Crawford, Manuela M. Veloso