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Episode 04: Joel Lehman, OpenAI, on evolution, open-endedness, and reinforcement learning

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Content provided by Kanjun Qiu. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kanjun Qiu or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Joel Lehman was previously a founding member at Uber AI Labs and assistant professor at the IT University of Copenhagen. He's now a research scientist at OpenAI, where he focuses on open-endedness, reinforcement learning, and AI safety.

Joel’s PhD dissertation introduced the novelty search algorithm. That work inspired him to write the popular science book, “Why Greatness Cannot Be Planned”, with his PhD advisor Ken Stanley, which discusses what evolutionary algorithms imply for how individuals and society should think about objectives.

We discuss this and much more:

- How discovering novelty search totally changed Joel’s philosophy of life

- Sometimes, can you reach your objective more quickly by not trying to reach it?

- How one might evolve intelligence

- Why reinforcement learning is a natural framework for open-endedness

  continue reading

36 episodes

Artwork
iconShare
 
Manage episode 289279643 series 2906499
Content provided by Kanjun Qiu. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kanjun Qiu or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Joel Lehman was previously a founding member at Uber AI Labs and assistant professor at the IT University of Copenhagen. He's now a research scientist at OpenAI, where he focuses on open-endedness, reinforcement learning, and AI safety.

Joel’s PhD dissertation introduced the novelty search algorithm. That work inspired him to write the popular science book, “Why Greatness Cannot Be Planned”, with his PhD advisor Ken Stanley, which discusses what evolutionary algorithms imply for how individuals and society should think about objectives.

We discuss this and much more:

- How discovering novelty search totally changed Joel’s philosophy of life

- Sometimes, can you reach your objective more quickly by not trying to reach it?

- How one might evolve intelligence

- Why reinforcement learning is a natural framework for open-endedness

  continue reading

36 episodes

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