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» Solving Simple Stochastic Games
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CG
2006
Springer
13 years 9 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
EOR
2011
113views more  EOR 2011»
13 years 1 months ago
A relation-algebraic approach to simple games
Simple games are a powerful tool to analyze decision-making and coalition formation in social and political life. In this paper, we present relation-algebraic models of simple game...
Rudolf Berghammer, Stefan Bolus, Agnieszka Rusinow...
IJCAI
2001
13 years 8 months ago
Rational and Convergent Learning in Stochastic Games
This paper investigates the problem of policy learning in multiagent environments using the stochastic game framework, which we briefly overview. We introduce two properties as de...
Michael H. Bowling, Manuela M. Veloso
FLAIRS
2009
13 years 4 months ago
Dynamic Programming Approximations for Partially Observable Stochastic Games
Partially observable stochastic games (POSGs) provide a rich mathematical framework for planning under uncertainty by a group of agents. However, this modeling advantage comes wit...
Akshat Kumar, Shlomo Zilberstein
ICALP
2009
Springer
14 years 7 months ago
On a Network Generalization of the Minmax Theorem
We consider graphical games in which edges are zero-sum games between the endpoints/players; the payoff of a player is the sum of the payoffs from each incident edge. We give a si...
Constantinos Daskalakis, Christos H. Papadimitriou