Kevin Daun

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 5 citations into it

Whom Kevin Daun trusts overall

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

1. Justin A. Boyan
2. Jan Peters
3. Michael Rubenstein
4. Alex Smola
5. Gerhard Neumann
6. Herke Van Hoof
7. Christian Wirth
8. Christian Ahler

Who trusts Kevin Daun overall

1. Maximilian Hüttenrauch

Papers from Kevin Daun's perspective

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

1. Relative Entropy Policy Search
2. Sparse Gaussian Processes using Pseudo-inputs
3. ImageNet classification with deep convolutional neural networks
4. Reinforcement Learning: An Introduction
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Long Short-Term Memory
8. Et al
9. Gradient-based learning applied to document recognition
10. A Hilbert Space Embedding for Distributions

Their papers

• Learning Robust Policies for Object Manipulation with Robot Swarms (2018) — 19 citations