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cs.LG2022★ 1 cited
Benchmarking Learning Efficiency in Deep Reservoir Computing
Hugo Cisneros, Josef Sivic, Tomas Mikolov
It is common to evaluate the performance of a machine learning model by measuring its predictive power on a test dataset. This approach favors complicated models that can smoothly…
cs.LG2019
Learning to combine primitive skills: A step towards versatile robotic manipulation
Robin Strudel, Alexander Pashevich, Igor Kalevatykh +3
Manipulation tasks such as preparing a meal or assembling furniture remain highly challenging for robotics and vision. Traditional task and motion planning (TAMP) methods can solve…