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SUMMARY:John Langford (Microsoft Research)
DTSTART:20200813T190000Z
DTEND:20200813T203000Z
DTSTAMP:20260423T021058Z
UID:IASML/19
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/IASML/19/">L
 atent State Discovery in Reinforcement Learning</a>\nby John Langford (Mic
 rosoft Research) as part of IAS Seminar Series on Theoretical Machine Lear
 ning\n\n\nAbstract\nThere are three core orthogonal problems in reinforcem
 ent learning: (1) Crediting actions (2) generalizing across rich observati
 ons (3) Exploring to discover the information necessary for learning.  Goo
 d solutions to pairs of these problems are fairly well known at this point
 \, but solutions for all three are just now being discovered.   I’ll dis
 cuss several such results and dive into details on a few of them.\n
LOCATION:https://researchseminars.org/talk/IASML/19/
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