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cs.LG2026
Stochastic Resetting Accelerates Reinforcement Learning Beyond Random Search
Jello Zhou, David J. Schwab, Vudtiwat Ngampruetikorn
Stochastic resetting -- intermittently returning a process to a fixed reference state -- has emerged as an effective mechanism for optimizing first-passage properties. Existing the…
cs.LG2025
When can in-context learning generalize out of task distribution?
Chase Goddard, Lindsay M. Smith, Vudtiwat Ngampruetikorn +1
In-context learning (ICL) is a remarkable capability of pretrained transformers that allows models to generalize to unseen tasks after seeing only a few examples. We investigate em…