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CORDIS - EU research results
CORDIS

Data-Efficient Scalable Reinforcement Learning for Practical Robotic Environments

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Fast Non-Parametric Learning to Accelerate Mixed-Integer Programming for Online Hybrid Model Predictive Control

Author(s): Jia-Jie Zhu, Georg Martius
Published in: 2020
Publisher: Elsevier

Control What You Can: Intrinsically Motivated Task-Planning Agent

Author(s): Sebastian Blaes, Marin Vlastelica Pogančić, JJ Zhu, Georg Martius
Published in: 2019
Publisher: Neural Information Processing Systems Foundation, Inc.

Robust Humanoid Locomotion Using Trajectory Optimization and Sample-Efficient Learning

Author(s): Mohammad Hasan Yeganegi, Majid Khadiv, S Ali A Moosavian, Jia-Jie Zhu, Andrea Del Prete, Ludovic Righetti
Published in: 2020
Publisher: IEEE

A New Distribution-Free Concept for Representing, Comparing, and Propagating Uncertainty in Dynamical Systems with Kernel Probabilistic Programming

Author(s): Jia-Jie Zhu, Krikamol Muandet, Moritz Diehl, Bernhard Schölkopf
Published in: 2020
Publisher: Elsevier

A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and Control

Author(s): Jia-Jie Zhu, Moritz Diehl, Bernhard Schölkopf
Published in: 2020
Publisher: Proceedings of Machine Learning Research

Deep Reinforcement Learning for Event-Triggered Control

Author(s): Baumann, Dominik; Zhu, Jia-Jie; Martius, Georg; Trimpe, Sebastian
Published in: 2018
Publisher: IEEE

Worst-Case Risk Quantification under Distributional Ambiguity using Kernel Mean Embedding in Moment Problem

Author(s): Jia-Jie Zhu, Wittawat Jitkrittum, Moritz Diehl, Bernhard Schölkopf
Published in: 2020
Publisher: Under review

Kernel Distributionally Robust Optimization

Author(s): Jia-Jie Zhu, Wittawat Jitkrittum, Moritz Diehl, Bernhard Schölkopf
Published in: 2020
Publisher: Under review

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