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COLT
2004
Springer
15 years 5 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
CORR
2010
Springer
197views Education» more  CORR 2010»
14 years 9 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
COLING
2008
15 years 1 months ago
An Integrated Probabilistic and Logic Approach to Encyclopedia Relation Extraction with Multiple Features
We propose a new integrated approach based on Markov logic networks (MLNs), an effective combination of probabilistic graphical models and firstorder logic for statistical relatio...
Xiaofeng Yu, Wai Lam
GLOBECOM
2007
IEEE
15 years 6 months ago
Constrained Stochastic Games in Wireless Networks
—We consider the situation where N nodes share a common access point. With each node i there is an associated buffer and channel state that change in time. Node i dynamically cho...
Eitan Altaian, Konstantin Avrachenkov, Nicolas Bon...
ENTCS
2008
110views more  ENTCS 2008»
14 years 12 months ago
Game-Based Probabilistic Predicate Abstraction in PRISM
ion in PRISM1 Mark Kattenbelt Marta Kwiatkowska Gethin Norman David Parker Oxford University Computing Laboratory, Oxford, UK Modelling and verification of systems such as communi...
Mark Kattenbelt, Marta Z. Kwiatkowska, Gethin Norm...