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cs.LG2026
Beyond Validation Loss: Coverage and Reliability Dynamics in Robot Policy Pretraining
Zhanyi Sun, Max Simchowitz, Shuran Song
In modern robot learning, generative robot policies are first pretrained through supervised learning from demonstrations, then refined through reinforcement learning, supervised fi…
cs.LG2026
Conditional Flow Models Convert Epistemic Uncertainty into Apparent Aleatoric Variance
Navodita Sharma, Abhishek Shetty, Max Simchowitz +1
Conditional Flow Models (CFMs) are increasingly being used in place of deterministic predictors across machine learning, including for tasks that were classically formulated as reg…