This page shows the most relevant public items for Sim-to-Real, ranked by trend activity and review signal. Use weekly for fast changes, monthly for more stable patterns, and all-time for evergreen picks.
Paper • Mar 20, 2017 • arXiv • Josh Tobin, Rachel Fong, Alex Ray, Jonas Schneider, Wojciech Zaremba, Pieter Abbeel
Bridging the 'reality gap' between simulated environments and the physical world is a major challenge in robotics. We introduce domain randomization, a simple yet powerful technique for training ne...
Paper • Jul 30, 2018 • arXiv • Marcin Andrychowicz, Bowen Baker, Maciek Chociej, Rafal Jozefowicz, Bob McGrew, Jakub Pachocki, Arthur Petron, Matthias Plappert, Glenn Powell, Alex Ray, Jonas Schneider, Szymon Sidor, Josh Tobin, Peter Welinder, Lilian Weng, Wojciech Zaremba
We demonstrate that reinforcement learning algorithms can be used to learn highly dexterous, in-hand manipulation policies that successfully transfer to the real world. We train a policy to control...
Paper • Oct 15, 2019 • arXiv • Ilge Akkaya, Marcin Andrychowicz, Maciek Chociej, Mateusz Litwin, Bob McGrew, Arthur Petron, Alex Paino, Matthias Plappert, Glenn Powell, Raphael Ribas, Jonas Schneider, Nikolas Tezak, Peter Welinder, Lilian Weng, Wojciech Zaremba, Lei Zhang
We demonstrate that models trained only in simulation can be used to solve a manipulation problem of unprecedented complexity on a real robot. We use reinforcement learning to train a policy to sol...
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