52 citations · 52 across the 2 of their papers we have counts for
3 papers
cs.RO2021
Validate on Sim, Detect on Real -- Model Selection for Domain Randomization
Gal Leibovich, Guy Jacob, Shadi Endrawis +2
A practical approach to learning robot skills, often termed sim2real, is to train control policies in simulation and then deploy them on a real robot. Popular techniques to improve…
cs.RO2021
Efficient Self-Supervised Data Collection for Offline Robot Learning
Shadi Endrawis, Gal Leibovich, Guy Jacob +2
A practical approach to robot reinforcement learning is to first collect a large batch of real or simulated robot interaction data, using some data collection policy, and then lear…
cs.LG2019★ 52 cited
Neural Network Distiller: A Python Package For DNN Compression Research
Neta Zmora, Guy Jacob, Lev Zlotnik +2
This paper presents the philosophy, design and feature-set of Neural Network Distiller, an open-source Python package for DNN compression research. Distiller is a library of DNN co…