Machine Learning Street Talk (MLST)

Exploring Open-Ended Algorithms: POET


Listen Later

Three YouTubers; Tim Scarfe - Machine Learning Dojo (https://www.youtube.com/channel/UCXvHuBMbgJw67i5vrMBBobA), Connor Shorten - Henry AI Labs (https://www.youtube.com/channel/UCHB9VepY6kYvZjj0Bgxnpbw) and Yannic Kilcher (https://www.youtube.com/channel/UCZHmQk67mSJgfCCTn7xBfew). We made a new YouTube channel called Machine Learning Street Talk. Every week we will talk about the latest and greatest in AI. Subscribe now!

Special guests this week; Dr. Mathew Salvaris (https://www.linkedin.com/in/drmathewsalvaris/), Eric Craeymeersch (https://www.linkedin.com/in/ericcraeymeersch/), Dr. Keith Duggar (https://www.linkedin.com/in/dr-keith-duggar/),  Dmitri Soshnikov (https://www.linkedin.com/in/shwars/)

We discuss the new concept of an open-ended, or "AI-Generating" algorithm. Open-endedness is a class of algorithms which generate problems and solutions to increasingly complex and diverse tasks. These algorithms create their own curriculum of learning. Complex tasks become tractable because they are now the final stepping stone in a lineage of progressions. In many respects, it's better to trust the machine to develop the learning curriculum, because the best curriculum might be counter-intuitive. These algorithms can generate a radiating tree of evolving challenges and solutions just like natural evolution. Evolution has produced an eternity of diversity and complexity and even produced human intelligence as a side-effect! Could AI-generating algorithms be the next big thing in machine learning?

Wang, Rui, et al. "Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions." arXiv preprint arXiv:2003.08536 (2020). https://arxiv.org/abs/2003.08536

Wang, Rui, et al. "Paired open-ended trailblazer (poet): Endlessly generating increasingly complex and diverse learning environments and their solutions." arXiv preprint arXiv:1901.01753 (2019). https://arxiv.org/abs/1901.01753

Watch Yannic’s video on POET: https://www.youtube.com/watch?v=8wkgDnNxiVs

and on the extended POET: https://youtu.be/gbG1X8Xq-T8
Watch Connor’s video https://www.youtube.com/watch?v=jxIkPxkN10U
UberAI labs video: https://www.youtube.com/watch?v=RX0sKDRq400   

#reinforcementlearning #machinelearning #uber #deeplearning #rl #timscarfe #connorshorten #yannickilcher


...more
View all episodesView all episodes
Download on the App Store

Machine Learning Street Talk (MLST)By Machine Learning Street Talk (MLST)

  • 4.7
  • 4.7
  • 4.7
  • 4.7
  • 4.7

4.7

84 ratings


More shows like Machine Learning Street Talk (MLST)

View all
Data Skeptic by Kyle Polich

Data Skeptic

481 Listeners

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) by Sam Charrington

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

441 Listeners

Super Data Science: ML & AI Podcast with Jon Krohn by Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn

298 Listeners

NVIDIA AI Podcast by NVIDIA

NVIDIA AI Podcast

323 Listeners

Machine Learning Guide by OCDevel

Machine Learning Guide

764 Listeners

Practical AI by Practical AI LLC

Practical AI

190 Listeners

ManifoldOne by Steve Hsu

ManifoldOne

87 Listeners

Google DeepMind: The Podcast by Hannah Fry

Google DeepMind: The Podcast

199 Listeners

Dwarkesh Podcast by Dwarkesh Patel

Dwarkesh Podcast

371 Listeners

No Priors: Artificial Intelligence | Technology | Startups by Conviction

No Priors: Artificial Intelligence | Technology | Startups

122 Listeners

This Day in AI Podcast by Michael Sharkey, Chris Sharkey

This Day in AI Podcast

199 Listeners

Unsupervised Learning by by Redpoint Ventures

Unsupervised Learning

39 Listeners

Latent Space: The AI Engineer Podcast by swyx + Alessio

Latent Space: The AI Engineer Podcast

76 Listeners

The AI Daily Brief (Formerly The AI Breakdown): Artificial Intelligence News and Analysis by Nathaniel Whittemore

The AI Daily Brief (Formerly The AI Breakdown): Artificial Intelligence News and Analysis

441 Listeners

Training Data by Sequoia Capital

Training Data

36 Listeners