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Found 2 papers, 2 papers with code
Calibration of Continual Learning Models
Continual Learning (CL) focuses on maximizing the predictive performance of a model across a non-stationary stream of data.
Continual Policy Distillation of Reinforcement Learning-based Controllers for Soft Robotic In-Hand Manipulation
The framework leverages Policy Distillation (PD) to transfer knowledge from expert policies to a continually evolving student policy network.
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