New paper relevant to this discussion: https://arxiv.org/abs/1911.08265
Constructing agents with planning capabilities has long been one of the main challenges in the pursuit of artificial intelligence. Tree-based planning methods have enjoyed huge success in challenging domains, such as chess and Go, where a perfect simulator is available. However, in real-world problems the dynamics governing the environment are often complex and unknown. In this work we present the MuZero algorithm which, by combining a tree-based search with a learned model, achieves su...
Thanks for this summary / commentary, Rohin -- I found it helpful!
Thanks for transcribing this, Ben!
I'm excited about this. If you get any substantive feedback from people who take on these projects or decide not to, I'd be very interested to see a follow-up post.
I think this article / concept is incredibly useful, and singlehandedly justifies the existence of LW2. Thank you!
I want to go reread you and your research and see how the free energy concept could apply there -- if anyone else does, I'd love to hear thoughts.
Thanks!