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SUMMARY:Inverse Game Theory - Gabija Maršalka
DTSTART:20190306T170000Z
DTEND:20190306T190000Z
UID:TALK121093@talks.cam.ac.uk
CONTACT:Adrià Garriga Alonso
DESCRIPTION:This week we read "“Inverse Game Theory” by Volodymyr Kule
 shov and Okke Schrijvers":https://pdfs.semanticscholar.org/3b57/d61ac0537a
 27e79e60395a0e816e8d06883b.pdf.\n\nInverse Game Theory (IGT) is basically 
 Inverse Reinforcement Learning (IRL)\, but the demonstrations used for lea
 rning involve many different agents which cannot be isolated. That is\, IG
 T tries to learn what the reward for each of the agents is\, when they all
  play a Nash equilibrium. This should be useful for the value learning pro
 blem in the real world\, where humans never act in isolation.\n\nAs usual\
 , there will be free pizza. The first half hour is for stragglers to finis
 h reading.\n\nInvite your friends to join the mailing list (https://lists.
 cam.ac.uk/mailman/listinfo/eng-safe-ai)\, the Facebook group (https://www.
 facebook.com/groups/1070763633063871) or the talks.cam page (https://talks
 .cam.ac.uk/show/index/80932). Details about the next meeting\, the week’
 s topic and other events will be advertised in these places.\n
LOCATION:Engineering Department\, CBL Seminar room BE4-38
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