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SUMMARY:João Miranda Lemos (Instituto Superior Técnico and INESC-ID)
DTSTART:20200716T163000Z
DTEND:20200716T173000Z
DTSTAMP:20260423T003257Z
UID:MPML/9
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MPML/9/">Rei
 nforcement learning and adaptive control</a>\nby João Miranda Lemos (Inst
 ituto Superior Técnico and INESC-ID) as part of Mathematics\, Physics and
  Machine Learning (IST\, Lisbon)\n\n\nAbstract\nThe aim of this seminar is
  to explain\, to a wide audience\, how to combine optimal control techniqu
 es with reinforcement learning\, by using approximate dynamic programming\
 , and artificial neural networks\, to obtain adaptive optimal controllers.
  Although with roots since the end of the XX century\, this problem has be
 en the subject of an increasing attention. In addition to the promising to
 ols that it offers to tackle difficult nonlinear problems with major engin
 eering importance (ranging from robotics to biomedical engineering and bey
 hond)\, it has the charm of creating a meeting point between the control a
 nd machine learning research communities.\n
LOCATION:https://researchseminars.org/talk/MPML/9/
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