656 search results - page 75 / 132 » Complexity of finite-horizon Markov decision process problem... |
105
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WSC
2008
15 years 4 months ago
2008
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...
AIPS
2004
15 years 3 months ago
2004
We describe and evaluate a system for learning domainspecific control knowledge. In particular, given a planning domain, the goal is to output a control policy that performs well ...
IJCAI
2003
15 years 3 months ago
2003
The aim of this paper is to provide a sound framework for addressing a difficult problem: the automatic construction of an autonomous agent's modular architecture. We briefly...
107
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IJCAI
2003
15 years 3 months ago
2003
We present a new algorithm, GM-Sarsa(0), for finding approximate solutions to multiple-goal reinforcement learning problems that are modeled as composite Markov decision processe...
139
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GLOBECOM
2010
IEEE
14 years 12 months ago
2010
IEEE
Abstract--Proper admission control in cognitive radio networks is critical in providing QoS guarantees to secondary unlicensed users. In this paper, we study the admission control ...