Jan Wülfing

Reinforcement Learning · 2014

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 12 citations into it; #1,747 of 2,242 by trust here, #1,973 by citations
• Control and Systems Engineering — 6 citations into it
• Artificial Intelligence — 5 citations into it

Whom Jan Wülfing trusts overall

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

1. Carl E. Rasmussen
2. Grace Wahba
3. Marc Toussaint
4. Duy Nguyen-Tuong
5. Marc Peter Deisenroth
6. Yuval Tassa
7. Tomaso A. Poggio
8. Aude Gemma Billard
9. Weiwei Li
10. Ronen I. Brafman

Who trusts Jan Wülfing overall

1. Sanket Kamthe

Papers from Jan Wülfing's perspective

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

1. PILCO: A Model-Based and Data-Efficient Approach to Policy Search
2. ImageNet classification with deep convolutional neural networks
3. Robot learning from demonstration
4. Spline Models for Observational Data
5. R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Synthesis and stabilization of complex behaviors through online trajectory optimization
8. Differential dynamic programming
9. Reinforcement learning in robotics: A survey
10. Gaussian Processes in Reinforcement Learning

Their papers

• Approximate real-time optimal control based on sparse Gaussian process models (2014) — 70 citations