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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.
Accelerating Reinforcement Learning Through The Discovery Of Useful Subgoals, Amy Mcgovern, Andrew G. Barto
Accelerating Reinforcement Learning Through The Discovery Of Useful Subgoals, Amy Mcgovern, Andrew G. Barto
Computer Science Department Faculty Publication Series
An ability to adjust to changing environments and unforeseen circumstances is likely to be an important component of a successful autonomous space robot. This paper shows how to augment reinforcement learning algorithms with a method for automatically discovering certain types of subgoals online. By creating useful new subgoals while learning, the agent is able to accelerate learning on a current task and to transfer its expertise to related tasks through the reuse of its ability to attain subgoals. Subgoals are created based on commonalities across multiple paths to a solution. We cast the task of finding these commonalities as a …