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SUMMARY:Reinforcement learning and knot theory - Andras Juhasz (University
  of Oxford)
DTSTART:20250724T135000Z
DTEND:20250724T144000Z
UID:TALK234652@talks.cam.ac.uk
DESCRIPTION:Several hard problems in knot theory can be formulated as sing
 le-player games\, including computing the unknotting number and the 4-ball
  genus\, making these amenable to reinforcement learning (RL) algorithms. 
 There has been substantial progress over the past few years\, but there is
  still a gap between what is possible using RL and more classical methods.
  I will discuss some of the latest results and remaining challenges.&nbsp\
 ;
LOCATION:External
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