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Wasserstein Adversarial Imitation Learning
Imitation Learning describes the problem of recovering an expert policy ...
06/19/2019 ∙ by Huang Xiao, et al. ∙
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Human Motion Trajectory Prediction: A Survey
With growing numbers of intelligent systems in human environments, the a...
05/15/2019 ∙ by Andrey Rudenko, et al. ∙
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Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation
The performance of autonomous systems heavily relies on their ability to...
10/09/2018 ∙ by Jörg Wagner, et al. ∙
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Hierarchical Recurrent Filtering for Fully Convolutional DenseNets
Generating a robust representation of the environment is a crucial abili...
10/05/2018 ∙ by Jörg Wagner, et al. ∙
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Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics
Inverse Reinforcement Learning (IRL) describes the problem of learning a...
04/13/2016 ∙ by Michael Herman, et al. ∙
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Michael Herman
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one of the leading experts on the theory of dynamical systems.
