Kim Peter Wabersich

Control and Systems Engineering · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 25 citations into it
• Reinforcement Learning — 10 citations into it

Whom Kim Peter Wabersich trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Felix Berkenkamp
2. Marco Claudio Campi
3. Sanket Kamthe
4. Angela P. Schoellig
5. C. Ostafew
6. Ali Mesbah
7. Anil Jayanti Aswani
8. Torsten Koller
9. Radford M. Neal

Who trusts Kim Peter Wabersich overall

1. Henk van Waarde

Papers from Kim Peter Wabersich's perspective

Ordered by how strongly the researchers Kim Peter Wabersich trusts endorse each paper. Same corpus, a different order for every researcher.

1. Pattern Recognition and Machine Learning
2. Safe Model-based Reinforcement Learning with Stability Guarantees
3. Provably safe and robust learning-based model predictive control
4. Reinforcement Learning: An Introduction
5. Robust Constrained Learning-based NMPC enabling reliable mobile robot path tracking
6. A Unifying View of Sparse Approximate Gaussian Process Regression
7. Gaussian process model based predictive control
8. ImageNet classification with deep convolutional neural networks
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Safe controller optimization for quadrotors with Gaussian processes

Their papers

• Learning-Based Model Predictive Control: Toward Safe Learning in Control (2020) — 910 citations