The University of Washington was awarded a three-year $500,000 Project Grant from the National Science Foundation Division of Information and Intelligent Systems under the Computer and Information Science and Engineering federal grant program (CFDA 47.070).
The grant will support research into the theoretical foundations of reinforcement learning, from modeling learning as a blank slate to using function approximation. The University will conduct investigator-initiated research advancing the development of computational techniques for reinforcement learning. Results of the research may help enable and accelerate discovery and innovation in computing, communications, and information science. The period of performance is from October 1, 2021 through September 30, 2024, with the place of performance at the University's campus in Seattle, Washington.
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