Improved heuristic search algorithms for decision-theoretic planning
<p>A large class of practical planning problems that require reasoning about uncertain outcomes, as well as tradeoffs among competing goals, can be modeled as Markov decision processes (MDPs). This model has been studied for over 60 years, and has many applications that range from stochastic i...
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| Format: | Others |
| Language: | en |
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MSSTATE
2017
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| Online Access: | http://sun.library.msstate.edu/ETD-db/theses/available/etd-10232017-121510/ |