2 papers
cs.LG2023
A Statistical Guarantee for Representation Transfer in Multitask Imitation Learning
Bryan Chan, Karime Pereida, James Bergstra
Transferring representation for multitask imitation learning has the potential to provide improved sample efficiency on learning new tasks, when compared to learning from scratch.…
cs.RO2020
Catch the Ball: Accurate High-Speed Motions for Mobile Manipulators via Inverse Dynamics Learning
Ke Dong, Karime Pereida, Florian Shkurti +1
Mobile manipulators consist of a mobile platform equipped with one or more robot arms and are of interest for a wide array of challenging tasks because of their extended workspace…