Shadi Endrawis

2 accepted papers

2022

Validate on Sim, Detect on Real - Model Selection for Domain Randomization

Gal Leibovich, Guy Jacob, Shadi Endrawis, Gal Novik, Aviv Tamar

ICRA 2022poster

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 sim2real techniques build on domain randomization (DR) - training the policy on diverse randomly generated domains for better generalization…

Cited by 7 Source ↗Scholar ↗

2021

Efficient Self-Supervised Data Collection for Offline Robot Learning

Shadi Endrawis, Gal Leibovich, Guy Jacob, Gal Novik, Aviv Tamar

ICRA 2021poster

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 learn from this data to perform various tasks, using offline learning algorithms. Previous work focused on manually designin…

Cited by 12 Source ↗Scholar ↗