682 search results - page 100 / 137 » One-Counter Markov Decision Processes |
106
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AAAI
2008
15 years 3 months ago
2008
Decentralized Markov Decision Processes are a powerful general model of decentralized, cooperative multi-agent problem solving. The high complexity of the general problem leads to...
101
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UAI
2008
15 years 2 months ago
2008
Approximate linear programming (ALP) is an efficient approach to solving large factored Markov decision processes (MDPs). The main idea of the method is to approximate the optimal...
90
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AIPS
2004
15 years 2 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 2 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...
127
Voted
AAAI
2000
15 years 2 months ago
2000
Given a model of a physical process and a sequence of commands and observations received over time, the task of an autonomous controller is to determine the likely states of the p...