We apply the statistical physics toolbox to analyse a simple model of reinforcement learning, and find some cool effects, like a speed-accuracy trade-off for generalisation 🚀
Congrats to Nishil Patel and the rest of the team*
TL;DR: We analyse policy learning through the lens of statphys, revealing distinct scaling regimes with sharp transitions.
🔗 journals.aps.org/prx/abstract...
*Seb Lee @sebgoldt.bsky.social @saxelab.bsky.social
We apply the statistical physics toolbox to analyse a simple model of reinforcement learning, and find some cool effects, like a speed-accuracy trade-off for generalisation 🚀
Why do we see localized receptive fields so often, even in models without sparisity regularization?
We present a theory in the minimal setting from @aingrosso.bsky.social and @sebgoldt.bsky.social
Why do we see localized receptive fields so often, even in models without sparisity regularization?
We present a theory in the minimal setting from @aingrosso.bsky.social and @sebgoldt.bsky.social
Leon is a fantastic collaborator + looking for PhD positions!
Leon is a fantastic collaborator + looking for PhD positions!