TalkRL: The Reinforcement Learning Podcast cover image

Jacob Beck and Risto Vuorio

TalkRL: The Reinforcement Learning Podcast

CHAPTER

The Barriers to Realistic High-Dimensional Task Distribution

Three questions from zoha rimon, a researcher at technion. What do you think are the barriers we'll need to tackle to make meta rl work on realistic high-dimensional task distributions? We don't quite have like a good training task distribution where we would train the meta rl agent that would then generalize to the other tasks so there's been efforts in this direction right and now deepmind has their uh xland i think it's called "Xland"

00:00
Transcript
Play full episode

Remember Everything You Learn from Podcasts

Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
App store bannerPlay store banner