Publications

DEPARTMENTS

Emperical Interference

Haptic Intelligence

Modern Magnetic Systems

Perceiving Systems

Physical Intelligence

Robotic Materials

Social Foundations of Computation


Research Groups

Autonomous Vision

Autonomous Learning

Bioinspired Autonomous Miniature Robots

Dynamic Locomotion

Embodied Vision

Human Aspects of Machine Learning

Intelligent Control Systems

Learning and Dynamical Systems

Locomotion in Biorobotic and Somatic Systems

Micro, Nano, and Molecular Systems

Movement Generation and Control

Neural Capture and Synthesis

Physics for Inference and Optimization

Organizational Leadership and Diversity

Probabilistic Learning Group


Topics

Robot Learning

Conference Paper

2022

Autonomous Learning

Robotics

AI

Career

Award


Learning and Dynamical Systems Empirical Inference Article Deep Backtracking Counterfactuals for Causally Compliant Explanations Kladny, K., Kügelgen, J. V., Schölkopf, B., Muehlebach, M. Transactions on Machine Learning Research, July 2024 (Published) arXiv URL BibTeX

Learning and Dynamical Systems Article A Pontryagin Perspective on Reinforcement Learning Eberhard, O., Vernade, C., Muehlebach, M. Learning for Dynamics and Control Conference, 2024, Submitted (Submitted) URL BibTeX

Learning and Dynamical Systems Article Accelerated First-Order Optimization under Nonlinear Constraints Muehlebach, M., Jordan, M. I. Mathematical Programming, 2024, Submitted (Submitted) URL BibTeX

Learning and Dynamical Systems Article Balancing a 3D Inverted Pendulum using Remote Magnetic Manipulation Zughaibi, J., Nelson, B. J., Muehlebach, M. Robotics and Automation Letters, 2024, In revision (In revision) URL BibTeX

Learning and Dynamical Systems Article Gray-box nonlinear feedback optimization He, Z., Bolognani, S., Muehlebach, M., Dörfler, F. IEEE Transactions on Automatic Control, 2024, Submitted (Submitted) URL BibTeX

Learning and Dynamical Systems Article Primal Methods for Variational Inequality Problems with Functional Constraints Zhang, L., He, N., Muehlebach, M. Mathematical Programming, 2024, Submitted (Submitted) URL BibTeX

Learning and Dynamical Systems Article Stochastic Online Optimization for Cyber-Physical and Robotic Systems Ma, H., Zeilinger, M., Muehlebach, M. Machine Learning, 2024, Submitted (Submitted) URL BibTeX

Learning and Dynamical Systems Article Towards a systems theory of algorithms Dörfler, F., He, Z., Belgioioso, G., Bolognani, S., Lygeros, J., Muehlebach, M. IEEE Control System Letters, 2024 (Published) URL BibTeX

Learning and Dynamical Systems Article Bi-level Motion Imitation for Humanoid Robots Zhao, W., Zhao, Y., Pajarinen, J., Muehlebach, M. Conference on Robot Learning, 2024 (Published) BibTeX

Learning and Dynamical Systems Article Controlling Participation in Federated Learning with Feedback Cummins, M., Er, G. D., Muehlebach, M. 2024, Submitted (Submitted) BibTeX

Learning and Dynamical Systems Article Event-Based Federated Q-Learning Er, D., Muehlebach, M. Workshop on Foundations of RL and Control, International Conference on Machine Learning, 2024 (Published) BibTeX

Learning and Dynamical Systems Article Online Performance Optimization of Nonlinear Systems: A Gray-Box Approach He, Z., Muehlebach, M., Bolognani, S., Dörfler, F. Workshop on Foundations of RL and Control, International Conference on Machine Learning, 2024 (Published) BibTeX

Learning and Dynamical Systems Article Optimal Transport with Constraints: From Mirror Descent to Classical Mechanics Ibrahim, A. A., Muehlebach, M., De Bacco, C. Physical Review Letters, 133:057401 , 2024 (Published) DOI BibTeX

Learning and Dynamical Systems Article Toward a Systems Theory of Algorithms Doerfler, F., He, Z., Belgioioso, G., Bolognani, S., Lygeros, J., Muehlebach, M. IEEE CONTROL SYSTEMS LETTERS, 8:1198 - 1210, 2024 (Published) DOI URL BibTeX

Learning and Dynamical Systems Article Reinforcement learning with model-based feedforward inputs for robotic table tennis Ma, H., Büchler, D., Schölkopf, B., Muehlebach, M. Autonomous Robots, 47, 2023 (Published) URL BibTeX

Learning and Dynamical Systems Article On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems Muehlebach, M., Jordan, M. I. Journal of Machine Learning Research, 23, 2022 (Published) URL BibTeX