The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded a $500,000 Project Grant to Texas A&M Engineering Experiment Station, doing business as Tees, to support research towards a principled framework for resilient, data efficient and scalable reinforcement learning for control. The award period is from February 1, 2021 through January 31, 2026.
The research is funded under the NSF Directorate for Engineering's Engineering program (CFDA 47.041), which seeks to improve quality of life and economic strength through fostering innovation and excellence in engineering research. Specifically, the awarded research aims to develop techniques for reinforcement learning that are robust, sample efficient and able to operate at large scales, advancing the ability to apply reinforcement learning approaches to control problems. The results of the five-year project will contribute to more effective application of machine learning methods for control across various domains.
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