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» Solving multiagent assignment Markov decision processes
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INFOCOM
2011
IEEE
13 years 1 months ago
A dynamic relay selection scheme for mobile users in wireless relay networks
—Cooperative communication has attracted dramatic attention in the last few years due to its advantage in mitigating channel fading. Despite much effort that has been made in the...
Yifan Li, Ping Wang, Dusit Niyato, Weihua Zhuang
ISLPED
1999
ACM
91views Hardware» more  ISLPED 1999»
14 years 2 months ago
Stochastic modeling of a power-managed system: construction and optimization
-- The goal of a dynamic power management policy is to reduce the power consumption of an electronic system by putting system components into different states, each representing ce...
Qinru Qiu, Qing Wu, Massoud Pedram
AAAI
2012
12 years 2 days ago
Kernel-Based Reinforcement Learning on Representative States
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
Branislav Kveton, Georgios Theocharous
CONCUR
2006
Springer
14 years 1 months ago
Strategy Improvement for Stochastic Rabin and Streett Games
A stochastic graph game is played by two players on a game graph with probabilistic transitions. We consider stochastic graph games with -regular winning conditions specified as Ra...
Krishnendu Chatterjee, Thomas A. Henzinger
WSC
2008
14 years 9 hour ago
On step sizes, stochastic shortest paths, and survival probabilities in Reinforcement Learning
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
Abhijit Gosavi