Gregor H. W. Gebhardt

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 Gregor H. W. Gebhardt 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
9. Andras Gabor Kupcsik
10. Arthur Gretton

Who trusts Gregor H. W. Gebhardt overall

1. Maximilian Hüttenrauch
2. Adrian Šošić

Papers from Gregor H. W. Gebhardt's perspective

Ordered by how strongly the researchers Gregor H. W. Gebhardt trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

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