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Ph.D. Dissertation Defense - Tianrong Chen

Title:  Bridging the Connection between Deep Learning and Stochastic Optimal Control

Committee:

Dr. Evangelos Theodorou, AE, Chair, Advisor

Dr. Matthieu Bloch, ECE, Chair, Co-Advisor

Dr. Justin Romberg, ECE

Dr. Molei Tao, Math

Dr. Shuangfei Zhai, Apple

Dr. Yao Xie, ISyE

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Summary

Generative models have gained significant popularity in recent years, and Stochastic Optimal Control soc has also advanced rapidly in parallel. This thesis addresses the prob- lem of understanding dynamical generative models from the perspective of Stochastic Opti- mal Control, thereby providing insights from the well-established Stochastic Optimal Con- trol theory. Additionally, it explores the challenges of high-dimensional Stochastic Optimal Control by leveraging deep learning techniques. Through this dual approach, the research aims to enhance the theoretical understanding and practical application of generative mod- els and Stochastic Optimal Control in complex, high-dimensional environments.

Details

Monday
Jul 29 2024
03:00pm - 05:00pm

Location: CODA Atlantic

In campus calendar: No

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  • Workflow Status:Published
  • Created By:Daniela Staiculescu
  • Created:07/24/2024
  • Modified By:Daniela Staiculescu
  • Modified:07/24/2024

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