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» Solving Concurrent Markov Decision Processes
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AAAI
2006
13 years 6 months ago
An Iterative Algorithm for Solving Constrained Decentralized Markov Decision Processes
Despite the significant progress to extend Markov Decision Processes (MDP) to cooperative multi-agent systems, developing approaches that can deal with realistic problems remains ...
Aurélie Beynier, Abdel-Illah Mouaddib
ECAI
2008
Springer
13 years 6 months ago
A Simulation-based Approach for Solving Generalized Semi-Markov Decision Processes
Time is a crucial variable in planning and often requires special attention since it introduces a specific structure along with additional complexity, especially in the case of dec...
Emmanuel Rachelson, Gauthier Quesnel, Fréd&...
ATAL
2007
Springer
13 years 11 months ago
On opportunistic techniques for solving decentralized Markov decision processes with temporal constraints
Decentralized Markov Decision Processes (DEC-MDPs) are a popular model of agent-coordination problems in domains with uncertainty and time constraints but very difficult to solve...
Janusz Marecki, Milind Tambe
IJCAI
2007
13 years 6 months ago
A Fast Analytical Algorithm for Solving Markov Decision Processes with Real-Valued Resources
Agents often have to construct plans that obey deadlines or, more generally, resource limits for real-valued resources whose consumption can only be characterized by probability d...
Janusz Marecki, Sven Koenig, Milind Tambe
ECAI
2004
Springer
13 years 10 months ago
On-Line Search for Solving Markov Decision Processes via Heuristic Sampling
In the past, Markov Decision Processes (MDPs) have become a standard for solving problems of sequential decision under uncertainty. The usual request in this framework is the compu...
Laurent Péret, Frédérick Garc...