Increasing Scalability in Algorithms for Centralized and Decentralized Partially Observable Markov Decision Processes: Efficient Decision-Making and Coordination in Uncertain Environments
As agents are built for ever more complex environments, methods that consider the uncertainty in the system have strong advantages. This uncertainty is common in domains such as robot navigation, medical diagnosis and treatment, inventory management, sensor networks and e-commerce. When a single de...
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ScholarWorks@UMass Amherst
2010
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| Online Access: | https://scholarworks.umass.edu/open_access_dissertations/260 https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1262&context=open_access_dissertations |