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Physical Sciences and Mathematics Commons™
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Full-Text Articles in Physical Sciences and Mathematics
Data For "Density Constrains Environmental Impacts Of Fluid Abstraction In Continental Lithium Brines", Daniel B. Corkran, David F. Boutt, Lee Ann Munk, Brendan J. Moran, Sarah Mcknight, Jordan Jenckes, Alexander Kirshen
Data For "Density Constrains Environmental Impacts Of Fluid Abstraction In Continental Lithium Brines", Daniel B. Corkran, David F. Boutt, Lee Ann Munk, Brendan J. Moran, Sarah Mcknight, Jordan Jenckes, Alexander Kirshen
Data and Datasets
This dataset contains all data used in the study "Density constrains environmental impacts of fluid abstraction in continental lithium brines." Data include all SEAWAT groundwater-flow model input and output files, which contain all data associated with the parametric modeling study. It also contains NDVI and total annual precipitation datasets used in the study's remote sensing analysis.
Learning Abstractions For Planning, Brian Charles Cook
Learning Abstractions For Planning, Brian Charles Cook
Computer Science and Engineering Dissertations
Planners for hard problems must exploit domain-specific structure to find solutions efficiently. Yet, hand-engineered solutions and optimizations are often expensive and difficult or impossible to adapt to other problems. This work applies automatic machine learning techniques to increase planner performance for specific problem domains and to learn useful abstract representations for planning. In particular, this dissertation develops methods to address important aspects of learning in planning in four different areas: State-of-the-art domain-independent classical planners utilize multiple search heuristics and decide how to allocate computational effort between heuristics prior to planning. This work presents a heuristic planning algorithm that uses a …