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» On Strategy Improvement Algorithms for Simple Stochastic Gam...
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AAAI
2012
11 years 8 months ago
Computing Optimal Strategies to Commit to in Stochastic Games
Significant progress has been made recently in the following two lines of research in the intersection of AI and game theory: (1) the computation of optimal strategies to commit ...
Joshua Letchford, Liam MacDermed, Vincent Conitzer...
CIE
2008
Springer
13 years 7 months ago
Deterministic Graphical Games Revisited
We revisit the deterministic graphical games of Washburn. A deterministic graphical game can be described as a simple stochastic game (a notion due to Anne Condon), except that we ...
Daniel Andersson, Kristoffer Arnsfelt Hansen, Pete...
ERSHOV
2006
Springer
13 years 9 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
IJCAI
2001
13 years 7 months ago
R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
Ronen I. Brafman, Moshe Tennenholtz
LICS
2009
IEEE
14 years 13 days ago
An Exponential Lower Bound for the Parity Game Strategy Improvement Algorithm as We Know it
This paper presents a new lower bound for the discrete strategy improvement algorithm for solving parity games due to V¨oge and Jurdzi´nski. First, we informally show which stru...
Oliver Friedmann