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AAAI
2012
7 years 6 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...
FSTTCS
2010
Springer
9 years 1 months ago
One-Counter Stochastic Games
We study the computational complexity of basic decision problems for one-counter simple stochastic games (OC-SSGs), under various objectives. OC-SSGs are 2-player turn-based stoch...
Tomás Brázdil, Václav Brozek,...
AI
2002
Springer
9 years 3 months ago
Multiagent learning using a variable learning rate
Learning to act in a multiagent environment is a difficult problem since the normal definition of an optimal policy no longer applies. The optimal policy at any moment depends on ...
Michael H. Bowling, Manuela M. Veloso
SIAMCO
2008
113views more  SIAMCO 2008»
9 years 3 months ago
Singularly Perturbed Piecewise Deterministic Games
Abstract. In this paper we consider a class of hybrid stochastic games with the piecewise openloop information structure. These games are indexed over a parameter which represents...
Alain Haurie, Francesco Moresino
CORR
2008
Springer
159views Education» more  CORR 2008»
9 years 3 months ago
Stochastic Limit-Average Games are in EXPTIME
The value of a finite-state two-player zero-sum stochastic game with limit-average payoff can be approximated to within in time exponential in a polynomial in the size of the gam...
Krishnendu Chatterjee, Rupak Majumdar, Thomas A. H...
UAI
2000
9 years 4 months ago
Fast Planning in Stochastic Games
Stochastic games generalize Markov decision processes MDPs to a multiagent setting by allowing the state transitions to depend jointly on all player actions, and having rewards de...
Michael J. Kearns, Yishay Mansour, Satinder P. Sin...
IJCAI
2001
9 years 5 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
ERSHOV
2006
Springer
9 years 7 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
2005
Springer
9 years 9 months 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
ICALP
2007
Springer
9 years 9 months ago
Continuous Capacities on Continuous State Spaces
We propose axiomatizing some stochastic games, in a continuous state space setting, using continuous belief functions, resp. plausibilities, instead of measures. Then, stochastic g...
Jean Goubault-Larrecq
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