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Unsupervised State Embedding and Aggregation towards Scalable Reinforcement Learning
Mengdi Wang
TBA
Author Information
Mengdi Wang (Princeton University)
Mengdi Wang is interested in data-driven stochastic optimization and applications in machine and reinforcement learning. She received her PhD in Electrical Engineering and Computer Science from Massachusetts Institute of Technology in 2013. At MIT, Mengdi was affiliated with the Laboratory for Information and Decision Systems and was advised by Dimitri P. Bertsekas. Mengdi became an assistant professor at Princeton in 2014. She received the Young Researcher Prize in Continuous Optimization of the Mathematical Optimization Society in 2016 (awarded once every three years).
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2018 Poster: Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization »
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