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Equivariant Q Learning in Spatial Action Spaces
Recently, a variety of new equivariant neural network model architecture...
10/28/2021 ∙ by Dian Wang, et al. ∙
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Automatic Symmetry Discovery with Lie Algebra Convolutional Network
Existing equivariant neural networks for continuous groups require discr...
09/15/2021 ∙ by Nima Dehmamy, et al. ∙
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The QR decomposition for radial neural networks
We provide a theoretical framework for neural networks in terms of the r...
07/06/2021 ∙ by Iordan Ganev, et al. ∙
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Traffic Forecasting using Vehicle-to-Vehicle Communication
We take the first step in using vehicle-to-vehicle (V2V) communication t...
04/12/2021 ∙ by Steven Wong, et al. ∙
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Meta-Learning Dynamics Forecasting Using Task Inference
Current deep learning models for dynamics forecasting struggle with gene...
02/20/2021 ∙ by Rui Wang, et al. ∙
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Trajectory Prediction using Equivariant Continuous Convolution
Trajectory prediction is a critical part of many AI applications, for ex...
10/21/2020 ∙ by Robin Walters, et al. ∙
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Incorporating Symmetry into Deep Dynamics Models for Improved Generalization
Training machine learning models that can learn complex spatiotemporal d...
02/08/2020 ∙ by Rui Wang, et al. ∙
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