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» Solving Simple Stochastic Games
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ATAL
2004
Springer
14 years 1 months ago
Approximate Solutions for Partially Observable Stochastic Games with Common Payoffs
Partially observable decentralized decision making in robot teams is fundamentally different from decision making in fully observable problems. Team members cannot simply apply si...
Rosemary Emery-Montemerlo, Geoffrey J. Gordon, Jef...
TASLP
2010
78views more  TASLP 2010»
13 years 2 months ago
Solving Demodulation as an Optimization Problem
We introduce two new methods for the demodulation of acoustic signals by posing the problem in a convex optimization framework. This allows the parameters of the modulator and carr...
Gregory Sell, Malcolm Slaney
FSTTCS
2010
Springer
13 years 5 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,...
TON
2008
139views more  TON 2008»
13 years 7 months ago
Stochastic learning solution for distributed discrete power control game in wireless data networks
Distributed power control is an important issue in wireless networks. Recently, noncooperative game theory has been applied to investigate interesting solutions to this problem. Th...
Yiping Xing, Rajarathnam Chandramouli
AAAI
1998
13 years 9 months ago
Using Caching to Solve Larger Probabilistic Planning Problems
Probabilistic planning algorithms seek e ective plans for large, stochastic domains. maxplan is a recently developed algorithm that converts a planning problem into an E-Majsat pr...
Stephen M. Majercik, Michael L. Littman