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- 19Planning
- 14Scheduling
- 5Reinforcement Learning
- 4Heuristic Search
- 3Artificial Intelligence
- 3Simulations
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Author / Creator / Contributor
- 1Abdeyazdan, Zohreh
- 1Asadi Atui, Kavosh
- 1Brown, Jennifer A.
- 1Faid, Julian TW
- 1Fan, Gaojian
- 1Ho, Van H
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Fall 2013
Wireless sensor networks have become a very important tool for monitoring physical and environmental conditions over a wide area. These networks are distributed collections of small sensor nodes. Typically, sensor nodes collect data that must converge to a single sink location, possibly across...
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Fall 2019
In this thesis, we study merge-and-shrink (M&S), a flexible abstraction technique for generating heuristics for cost optimal planning. We first propose three novel merging strategies for M&S, namely, Undirected Min-Cut (UMC), Maximum Intermediate Abstraction Size Minimizing (MIASM), and Dynamic...
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