Danijar Hafner 2
TalkRL: The Reinforcement Learning Podcast
Dream Every 4: A Vision for AI
The biggest issue we're facing in our realm now is to do temporal abstraction really well. Another issue is that we want to leverage pre-training data to squeeze out more sample efficiency and learn tasks much faster. Open AI is collecting one, but I doubt they'll share it. And so you have to be data efficient because there just isn't that much data to supervise from. The second part is that we also want our algorithms to adapt quickly. We want these algorithms to discover new things for us.
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.
