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  • Stochastic Methods for Engineering – Part 2 November 2, 2021Stochastic Methods for Engineering - Part 2
      Found in the course listings as         EEL 6935 Special Topics in Electrical Engineering Will be a permanent course soon, but is offered a few times per decade The main text is Bruce Hajek’s Random Processes for Engineers.  I augment with lecture notes I have developed over the past decades. Some content and exercises may be ...
  • Simons Institute Fall program on Reinforcement Learning August 1, 2021Simons Institute Fall program on Reinforcement Learning
    Theory of Reinforcement Learning Simons Institute, UC Berkeley Aug. 19–Dec. 18, 2020 Two years in the making!  Thanks to my co-organizers Csaba Szepesvari, Emma Brunskill, Sébastien Bubeck, Alan Malek, Ambuj Tewari, and Mengdi Wang. This website is a great resource to learn about reinforcement learning fundamentals. For more, see my new book on these topics.
  • Control Systems and Reinforcement Learning August 1, 2021Control Systems  and Reinforcement Learning
    I’m very excited to announce that my new book, Control Systems and Reinforcement Learning, is to be published this spring by Cambridge University Press.
  • UF research team develops system that could provide energy resilience to hurricanes, natural disasters May 4, 2021UF research team develops system that could provide energy resilience to hurricanes, natural disasters
    UF researchers combine solar energy and artificial intelligence for a cost-effective system that would keep homes running.
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