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Model-Based Reinforcement Learning for Stochastic Hybrid Systems



Hany Abdulsamad , Jan Peters


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Stochastic Control through Approximate Bayesian Input Inference



Joe Watson , Hany Abdulsamad , Rolf Findeisen , Jan Peters

* Submitted to Transactions on Automatic Control Special Issue: Learning and Control. This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative-Entropy Trust Regions



Hany Abdulsamad , Tim Dorau , Boris Belousov , Jia-Jie Zhu , Jan Peters


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A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning



Pascal Klink , Hany Abdulsamad , Boris Belousov , Carlo D'Eramo , Jan Peters , Joni Pajarinen


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A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning



Hany Abdulsamad , Peter Nickl , Pascal Klink , Jan Peters


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Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation



Hany Abdulsamad , Jan Peters

* 2nd Annual Conference on Learning for Dynamics and Control 

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A Nonparametric Off-Policy Policy Gradient



Samuele Tosatto , Joao Carvalho , Hany Abdulsamad , Jan Peters


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A Nonparametric Offpolicy Policy Gradient



Samuele Tosatto , Joao Carvalho , Hany Abdulsamad , Jan Peters


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Receding Horizon Curiosity



Matthias Schultheis , Boris Belousov , Hany Abdulsamad , Jan Peters

* Published at Conference on Robot Learning (CoRL 2019) 

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