Research Assistant


Picture of Armin Lederer

M.Sc. Armin Lederer

Technical University of Munich

Chair of Information-oriented Control (Prof. Hirche)

Short Biography

  • 06/2018 - present: PhD candidate at Chair of Information-Oriented Control (ITR), Technical University of Munich (TUM), Germany
  • 10/2015 - 04/2018: M.Sc. in Electrical and Information Engineering, Technical University of Munich (TUM), Germany.
  • 10/2012 - 09/2015: B.Sc. in Electrical and Information Engineering, Technical University of Munich (TUM), Germany.

Research Interests

  • System identification using probabilistic machine learning
  • Nonlinear model predictive control based on learned probabilistic dynamical models
  • Real-time learning in control
  • Safe model-based reinforcement learning

Current Projects

  • Error Bounds for Gaussian Process Regression with Compactly Supported Kernels [PDF]
  • Information Measures for Data Selection in Gaussian Process Learning Control [PDF]
  • Gaussian Process Latent Variable Dynamical Models for Motor Symptom Estimation in People with Parkinson's Disease [PDF]

Selected Publications

2020

  • A. Capone; G.Noske; J. Umlauft; T. Beckers; A. Lederer; S. Hirche: Localized active learning of Gaussian process state space models. Learning for Dynamics & Control, 2020 mehr… BibTeX
  • A. Capone; A. Lederer; J. Umlauft; S. Hirche: Data Selection for Multi-Task Learning Under Dynamic Constraints. IEEE Control Systems Letters 5 (3), 2020, 959-964 mehr… BibTeX
  • A. Capone; G. Noske; J. Umlauft; T. Beckers; A. Lederer; S. Hirche: Localized Active Learning of Gaussian Process State Space Models. 2020 mehr… BibTeX
  • A. Lederer; A. Capone; S. Hirche: Parameter Optimization for Learning-based Control of Control-Affine Systems. Learning for Dynamics & Control, 2020 mehr… BibTeX
  • A. Lederer; M. Kessler; S. Hirche: GP3: A Sampling-based Analysis Framework for Gaussian Processes. Proceedings of the 21st IFAC World Congress , 2020 mehr… BibTeX
  • A. Lederer; Q. Hao; S. Hirche: Confidence Regions for Simulations with Learned Probabilistic Models. Proceedings of the American Control Conference (ACC), 2020 mehr… BibTeX
  • A. Lederer; A. Capone; J. Umlauft; S. Hirche: How Training Data Impacts Performance in Learning-based Control. IEEE Control Systems Letters, 2020, 1-1 mehr… BibTeX
  • J. Umlauft; T. Beckers; A. Capone; A. Lederer; S. Hirche: Smart Forgetting for Safe Online Learning with Gaussian Processes. Learning for Dynamics & Control, 2020 mehr… BibTeX
  • W. Xiao; A. Lederer; S. Hirche: Learning Stable Nonparametric Dynamical Systems with Gaussian Process Regression. Proceedings of the 21st IFAC World Congress , 2020 mehr… BibTeX

2019

  • A. Lederer; J. Umlauft; S. Hirche: Posterior Variance Analysis of Gaussian Processes with Application to Average Learning Curves. arXiv preprint: arXiv:1906.01404, 2019 mehr… BibTeX
  • A. Lederer; J. Umlauft; S. Hirche: Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control. Conference on Neural Information Processing Systems (NeurIPS), 2019 mehr… BibTeX
  • A. Lederer; S. Hirche: Local Asymptotic Stability Analysis and Region of Attraction Estimation with Gaussian Processes. Proceedings of the 58th Conference on Decision and Control (CDC) , 2019 mehr… BibTeX
  • A. Lederer; J. Umlauft; S. Hirche: Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control. Conference on Neural Information Processing Systems (NeurIPS), 2019 mehr… BibTeX

2017

  • J. Umlauft; A. Lederer; S. Hirche: Learning Stable Gaussian Process State Space Models. American Control Conference (ACC), IEEE, 2017 mehr… BibTeX