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cs.RO2021★ 4 cited
Equivariant Learning in Spatial Action Spaces
Dian Wang, Robin Walters, Xupeng Zhu +1
Recently, a variety of new equivariant neural network model architectures have been proposed that generalize better over rotational and reflectional symmetries than standard models…
cs.RO2021
Action Priors for Large Action Spaces in Robotics
Ondrej Biza, Dian Wang, Robert Platt +2
In robotics, it is often not possible to learn useful policies using pure model-free reinforcement learning without significant reward shaping or curriculum learning. As a conseque…