Katharina Muelling
Control and Systems Engineering · with Peters · 2007–2015
A researcher in the Science corpus: 6 papers; trusts 33 researchers and is trusted by 325 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 41 citations into it; #1,038 of 8,257 by trust here, #875 by citations
- Reinforcement Learning — 41 citations into it; #178 of 2,242 by trust here, #513 by citations
- Artificial Intelligence — 33 citations into it; #1,016 of 35,345 by trust here, #3,937 by citations
- Biomedical Engineering — 18 citations into it; #4,448 of 10,734 by trust here, #7,661 by citations
- Cognitive Neuroscience — 15 citations into it; #2,201 of 10,852 by trust here, #3,180 by citations
- Computer Vision and Pattern Recognition — 15 citations into it; #15,758 of 21,575 by trust here, #17,757 by citations
- Robotics & Control — 15 citations into it; #219 of 609 by trust here, #311 by citations
- Social Psychology — 8 citations into it
Whom Katharina Muelling trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stefan Schaal
- Jan Peters
- Richard S. Sutton
- Jens Kober
- Auke Jan Ijspeert
- Andrew Barto
- Andrew Y. Ng
- Pieter Abbeel
- Radford M. Neal
- Sergey Levine
Who trusts Katharina Muelling overall
- Sergey Levine
- Jan Peters
- Chelsea Finn
- Pieter Abbeel
- Gerhard Neumann
- Christian Daniel
- Marc Peter Deisenroth
- Shixiang Shane Gu
- Yevgen Chebotar
- Abhishek Gupta
Papers from Katharina Muelling's perspective
Ordered by how strongly the researchers Katharina Muelling trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Reinforcement Learning: An Introduction
- GENERATIVE ADVERSARIAL NETS
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Relative Entropy Policy Search (2010) — 829 citations
- Learning to select and generalize striking movements in robot table tennis (2012) — 478 citations
- Learning strategies in table tennis using inverse reinforcement learning (2014) — 81 citations
- Movement primitives via optimization (2015) — 65 citations
- Towards Motor Skill Learning for Robotics (2007) — 40 citations
- Movement templates for learning of hitting and batting (2010) — 181 citations