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» Solving Simple Stochastic Games
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ICALP
2005
Springer
14 years 13 days ago
Recursive Markov Decision Processes and Recursive Stochastic Games
We introduce Recursive Markov Decision Processes (RMDPs) and Recursive Simple Stochastic Games (RSSGs), which are classes of (finitely presented) countable-state MDPs and zero-su...
Kousha Etessami, Mihalis Yannakakis
WSC
2004
13 years 8 months ago
Solving Stochastic Mathematical Programs with Complementarity Constraints Using Simulation
Recently, simulation-based methods have been successfully used for solving challenging stochastic optimization problems and equilibrium models. Here we report some of the recent p...
S. Ilker Birbil, Gül Gürkan, Ovidiu List...
ERSHOV
2006
Springer
13 years 10 months ago
Linear Complementarity and P-Matrices for Stochastic Games
Abstract. We define the first nontrivial polynomially recognizable subclass of P-matrix Generalized Linear Complementarity Problems (GLCPs) with a subexponential pivot rule. No suc...
Ola Svensson, Sergei G. Vorobyov
ICALP
2009
Springer
14 years 7 months ago
The Complexity of Nash Equilibria in Simple Stochastic Multiplayer Games
We analyse the computational complexity of finding Nash equilibria in simple stochastic multiplayer games. We show that restricting the search space to equilibria whose payoffs fal...
Michael Ummels, Dominik Wojtczak
CIAC
2010
Springer
259views Algorithms» more  CIAC 2010»
13 years 10 months ago
On Strategy Improvement Algorithms for Simple Stochastic Games
The study of simple stochastic games (SSGs) was initiated by Condon for analyzing the computational power of randomized space-bounded alternating Turing machines. The game is play...
Rahul Tripathi, Elena Valkanova, V. S. Anil Kumar