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06/21/2023
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift
Bayesian deep learning (BDL) is a promising approach to achieve well-cal...
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04/11/2023
Curriculum-Based Imitation of Versatile Skills
Learning skills by imitation is a promising concept for the intuitive te...
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02/10/2023
Reinforcement Learning from Multiple Sensors via Joint Representations
In many scenarios, observations from more than one sensor modality are a...
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10/17/2022
On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning
Improved state space models, such as Recurrent State Space Models (RSSMs...
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10/17/2022
Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors
Humans intuitively solve tasks in versatile ways, varying their behavior...
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06/29/2022
Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios
Recurrent State-space models (RSSMs) are highly expressive models for le...
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05/27/2022
End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control
It is well-known that inverse dynamics models can improve tracking perfo...
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12/08/2021
Specializing Versatile Skill Libraries using Local Mixture of Experts
A long-cherished vision in robotics is to equip robots with skills that ...
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11/16/2021
Switching Recurrent Kalman Networks
Forecasting driving behavior or other sensor measurements is an essentia...
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11/15/2021
Versatile Inverse Reinforcement Learning via Cumulative Rewards
Inverse Reinforcement Learning infers a reward function from expert demo...
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01/22/2021
Differentiable Trust Region Layers for Deep Reinforcement Learning
Trust region methods are a popular tool in reinforcement learning as the...
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10/20/2020
Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning
Estimating accurate forward and inverse dynamics models is a crucial com...
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01/23/2020
Expected Information Maximization: Using the I-Projection for Mixture Density Estimation
Modelling highly multi-modal data is a challenging problem in machine le...
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05/17/2019