Learning Generalized Partial Policies from Examples
abstract: Many real-world planning problems can be modeled as Markov Decision Processes (MDPs) which provide a framework for handling uncertainty in outcomes of action executions. A solution to such a planning problem is a policy that handles possible contingencies that could arise during execution....
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| Format: | Dissertation |
| Language: | English |
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2020
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| Online Access: | http://hdl.handle.net/2286/R.I.63034 |