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cs.LG2025
The Complexity Dynamics of Grokking
Branton DeMoss, Silvia Sapora, Jakob Foerster +2
We demonstrate the existence of a complexity phase transition in neural networks by studying the grokking phenomenon, where networks suddenly transition from memorization to genera…
cs.LG2025
DITTO: Offline Imitation Learning with World Models
Branton DeMoss, Paul Duckworth, Jakob Foerster +2
For imitation learning algorithms to scale to real-world challenges, they must handle high-dimensional observations, offline learning, and policy-induced covariate-shift. We propos…