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Prospection: Interpretable Plans From Language By Predicting the Future
High-level human instructions often correspond to behaviors with multipl...
03/20/2019 ∙ by Chris Paxton, et al. ∙
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Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models
Humans are masters at quickly learning many complex tasks, relying on an...
10/09/2019 ∙ by Arunkumar Byravan, et al. ∙
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Motion-Nets: 6D Tracking of Unknown Objects in Unseen Environments using RGB
In this work, we bridge the gap between recent pose estimation and track...
10/30/2019 ∙ by Felix Leeb, et al. ∙
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SE3-Nets: Learning Rigid Body Motion using Deep Neural Networks
We introduce SE3-Nets, which are deep neural networks designed to model ...
06/08/2016 ∙ by Arunkumar Byravan, et al. ∙
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SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Planning and Control
In this work, we present an approach to deep visuomotor control using st...
10/02/2017 ∙ by Arunkumar Byravan, et al. ∙
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