MUSEL selects training samples by multiplying model uncertainty, distance to known inputs, and learning progress, improving sample efficiency for simulated robot effect prediction.
Master’s thesis, Delft University of Technology, Delft, Netherlands (October 2020), available athttp://repository.tudelft.nl/
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Sample Efficient Robot Learning in Supervised Effect Prediction Tasks
MUSEL selects training samples by multiplying model uncertainty, distance to known inputs, and learning progress, improving sample efficiency for simulated robot effect prediction.