Christian Alexander Steinparz

Reinforcement Learning · 2022

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

Subfields

• Reinforcement Learning — 36 citations into it

Whom Christian Alexander Steinparz trusts overall

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

1. Richard S. Sutton
2. J. Urgen Schmidhuber
3. Sepp Hochreiter
4. Geoffrey E. Hinton
5. Volodymyr Mnih
6. Yoshua Bengio
7. Alex Krizhevsky
8. Diederik P. Kingma
9. Yann LeCun
10. Andrew Barto

Papers from Christian Alexander Steinparz's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning (2022) — 19 citations