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Upside-Down Reinforcement Learning with Jürgen Schmidhuber - #357

2020-03-16 · 34 min · episode 357 · 13 entities

Asserted relationships

  • evidence rules-v4
    Upside-Down Reinforcement Learning with Jürgen Schmidhuber - #357
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    evidence rules-v4
    Feed author/publisher: Sam Charrington
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    evidence rules-v4
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    Feed category: Technology
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    evidence rules-v4
    Feed category: News
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    evidence rules-v4
    Feed category: Tech News
  • → hosted by TWIML company
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    evidence rules-v4
    Feed author/publisher: TWIML

Entities found in this episode

concepts 5

  • mentioned Science concept
    0.50
    evidence rules-v4
    Feed category: Science
  • mentioned Tech News concept
    0.50
    evidence rules-v4
    Feed category: Tech News
  • discusses Science concept
    0.40
    evidence rules-v4
    Feed category: Science
  • discusses News concept
    0.40
    evidence rules-v4
    Feed category: News
  • discusses Tech News concept
    0.40
    evidence rules-v4
    Feed category: Tech News

companys 4

  • mentioned TWIML company
    0.70
    evidence rules-v4
    Feed author/publisher: TWIML
  • mentioned Technology company
    0.50
    evidence rules-v4
    Feed category: Technology
  • discusses Technology company
    0.40
    evidence rules-v4
    Feed category: Technology
  • hosted by TWIML company
    0.40
    evidence rules-v4
    Feed author/publisher: TWIML

persons 3

  • mentioned Jürgen Schmidhuber person
    0.72
    evidence rules-v4
    Upside-Down Reinforcement Learning with Jürgen Schmidhuber - #357
  • mentioned Sam Charrington person
    0.70
    evidence rules-v4
    Feed author/publisher: Sam Charrington
  • hosted by Sam Charrington person
    0.55
    evidence rules-v4
    Feed author/publisher: Sam Charrington

podcasts 1

Episode description as stored
Today we’re joined by Jürgen Schmidhuber, Co-Founder and Chief Scientist of NNAISENSE, the Scientific Director at IDSIA, as well as a Professor of AI at USI and SUPSI in Switzerland. Jürgen’s lab is well known for creating the Long Short-Term Memory (LSTM) network, and in this conversation, we discuss some of the recent research coming out of his lab, namely Upside-Down Reinforcement Learning.