Axel Rottmann

Artificial Intelligence · 2007–2010

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Reinforcement Learning — 6 citations into it
• Control and Systems Engineering — 5 citations into it

Whom Axel Rottmann trusts overall

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

1. Jonathan Ko
2. Martin A. Riedmiller
3. Rémi Coulom
4. Richard S. Sutton
5. Yaakov Engel
6. Carl E. Rasmussen
7. Bernhard Schölkopf
8. Masashi Sugiyama
9. Kristian Kersting
10. Andrew Barto

Who trusts Axel Rottmann overall

1. Jens Kober
2. J. Bagnell
3. Bruno Castro da Silva

Papers from Axel Rottmann's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Reinforcement Learning: An Introduction
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Autonomous blimp control using model-free reinforcement learning in a continuous state and action space (2007) — 43 citations
• Learning Non-stationary System Dynamics Online Using Gaussian Processes (2010) — 19 citations