Disentangled Representations & Google Research Football with Olivier Bachem

800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we’re joined by Olivier Bachem, a research scientist at Google AI on the Brain team.

Olivier joins us to discuss his work on Google’s research football project, their foray into building a novel reinforcement learning environment. Before we get there, we spend a fair amount of time exploring his research in disentangled representations. Olivier and Sam discuss what makes the football environment different than the other available reinforcement learning environments like OpenAI Gym and PyGame, what other techniques they explored while using this environment, and what’s on the horizon for their team and Football RLE.

About Olivier

From the Interview

Meetup Update!

Many of you are aware that we’ve been hosting a couple of paper-reading meetups in conjunction with the podcast. I’m excited to share that Matt Kenney, Duke staff researcher and long-time listener and friend of the show, has stepped up to help take this group to the next level. The paper reading meetup will now be meeting every other Sunday at 1 PM Eastern Time to dissect the latest and greatest academic research papers in ML and AI. If you want to take your understanding of the field to the next level, check twimlai.com/meetup for more upcoming community events.

We’ve also got a couple of study groups currently running, one working through the fast.ai Deep Learning from the Foundations course, another on fast.ai Natural Language Processing, and another working through the Stanford cs224n Deep Learning for Natural Language Processing course. These study groups will be working on these courses through October and November, so it’s not too late to join. Sign up on the meetup page at twimlai.com/meetup.

Check it out

Speaker Acknowledgements

“This project was undertaken together with Anton Raichuk, Piotr Stańczyk, Michał Zając, Lasse Espeholt, Carlos Riquelme, Damien Vincent‎, Marcin Michalski, Olivier Bousquet‎ and Sylvain Gelly at Google Research, Zürich. We also wish to thank Lucas Beyer, Nal Kalchbrenner, Tim Salimans and the rest of the Google Brain team for helpful discussions, comments, technical help and code contributions. Finally, we would like to thank Bastiaan Konings Schuiling, who authored and open-sourced the original version of this game.”

“More On That Later” by Lee Rosevere licensed under CC By 4.0

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