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cs.RO2026
Policy-Calibrated DAgger: Offline Calibrated Noise Injection for Imitation Learning
Jenny Wang, George Kantor
Policies trained with imitation learning can accumulate errors over time, causing the robot to drift outside the training distribution. Existing methods mitigate this covariate shi…
cs.RO2026
BEACON: Belief-Enabled Adaptive CONtrol for Imitation Learning under Uncertainty
Moonyoung Lee, Soumojit Bhattacharya, George Kantor +1
Robot manipulation tasks often involve hidden state information that cannot be directly observed and must be inferred through sequential physical interactions. In such partially ob…