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The Statistical Physics of Stochastic Optimal Control & Learning

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Dr. Evangelos Theodorou, the director of GT-AE's Autonomous Control and Decision Systems Laboratory, will host a 2-day ARL-DARPA-funded workshop to explore the interconnections between statistical physics, stochastic control theory, and learning/adaptation. He will be joined by experts from other institutions as they investigate open questions and future research directions at the intersection of these fields.

The investigation will have a theoretical and an application component. On the theoretical level, the workshop’s objective is to determine the different points of view of computational principles and laws that appear across disciplines. On the application level, the workshop aims to identify how these different points of view can lead to efficient algorithms for learning and control of complex dynamical systems in autonomy, robotics and biology.

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Status

  • Workflow Status:Published
  • Created By:Michael Hagearty
  • Created:06/07/2016
  • Modified By:Fletcher Moore
  • Modified:10/07/2016

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