Niklas Höpner

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Reinforcement Learning — 18 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Niklas Höpner trusts overall

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

1. Stefano V. Albrecht
2. Peter Stone
3. Samuel Barrett
4. Volodymyr Mnih
5. Sepp Hochreiter
6. Richard S. Sutton
7. Christopher J. C. H. Watkins
8. Gavin Adrian Rummery
9. Geoffrey E. Hinton
10. J. Urgen Schmidhuber

Who trusts Niklas Höpner overall

1. Georgios Papoudakis

Papers from Niklas Höpner's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Human-level control through deep reinforcement learning
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Asynchronous Methods for Deep Reinforcement Learning
9. Reinforcement Learning: An Introduction
10. ImageNet: A large-scale hierarchical image database

Their papers

• Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning (2020) — 79 citations