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COLT
2004
Springer
14 years 4 months ago
Reinforcement Learning for Average Reward Zero-Sum Games
Abstract. We consider Reinforcement Learning for average reward zerosum stochastic games. We present and analyze two algorithms. The first is based on relative Q-learning and the ...
Shie Mannor
EOR
2008
88views more  EOR 2008»
13 years 11 months ago
Selection of a correlated equilibrium in Markov stopping games
This paper deals with an extension of the concept of correlated strategies to Markov stopping games. The Nash equilibrium approach to solving nonzero-sum stopping games may give m...
David M. Ramsey, Krzysztof Szajowski
CORR
2010
Springer
197views Education» more  CORR 2010»
13 years 8 months ago
Quantum Strategic Game Theory
We propose a simple yet rich model to extend the notions of Nash equilibria and correlated equilibria of strategic games to the quantum setting, in which we then study the relatio...
Shengyu Zhang
FDG
2009
ACM
14 years 5 months ago
Perspectives, frame rates and resolutions: it's all in the game
Hardware and platform limitations restrict the display settings for most computer games, forcing a tradeoff between frame rate and resolution to achieve acceptable performance. Pr...
Mark Claypool, Kajal T. Claypool
ECIS
2004
14 years 17 days ago
To play, or not to play: building a learning environment through computer simulations
This article analyzes the impact of a computer simulation (business game) on the users' perceived learning. The theoretical model developed in this paper is derived from the ...
Luigi Proserpio, Magni Magni