Planning and learning for weakly-coupled distributed agents
Stochastic planning has gained popularity over classical planning in recent years by offering principled ways to model the uncertainty inherent in many real world applications. In particular, Markov decision process (MDP) based approaches are particularly well suited to problems that involve sequent...
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| Language: | ENG |
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ScholarWorks@UMass Amherst
2006
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| Online Access: | https://scholarworks.umass.edu/dissertations/AAI3242389 |