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Trends in Reinforcement Learning with Chelsea Finn - #335

2020-01-02 · 68 min · episode 335 · 13 entities

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    Trends in Reinforcement Learning with Chelsea Finn - #335
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    Feed author/publisher: Sam Charrington
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  • → hosted by TWIML company
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    Feed author/publisher: TWIML

Entities found in this episode

concepts 5

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  • mentioned Tech News concept
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  • discusses News concept
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    evidence rules-v4
    Feed category: News
  • discusses Science concept
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    evidence rules-v4
    Feed category: Science
  • discusses Tech News concept
    0.40 · ×2
    evidence rules-v4
    Feed category: Tech News

companys 4

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

persons 3

  • mentioned Chelsea Finn person
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    evidence rules-v4
    Trends in Reinforcement Learning with Chelsea Finn - #335
  • mentioned Sam Charrington person
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    evidence rules-v4
    Feed author/publisher: Sam Charrington
  • hosted by Sam Charrington person
    0.55 · ×2
    evidence rules-v4
    Feed author/publisher: Sam Charrington

podcasts 1

Episode description as stored
Today we continue to review the year that was 2019 via our AI Rewind series, and do so with friend of the show Chelsea Finn, Assistant Professor in the CS Department at Stanford University. Chelsea’s research focuses on Reinforcement Learning, so we couldn’t think of a better person to join us to discuss the topic. In this conversation, we cover topics like Model-based RL, solving hard exploration problems, along with RL libraries and environments that Chelsea thought moved the needle last year.