Tobias Latzke

Reinforcement Learning · 2006

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 6 citations into it

Whom Tobias Latzke trusts overall

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

1. Richard S. Sutton
2. G. Tesauro
3. Andrew McCallum
4. Geoffrey E. Hinton
5. Marco A. Wiering
6. Damien Ernst
7. J. Urgen Schmidhuber
8. David E. Rumelhart
9. Stefan Schaal
10. Ronald J. Williams

Who trusts Tobias Latzke overall

1. Xiaodan Liang
2. Tairui Wang

Papers from Tobias Latzke's perspective

Ordered by how strongly the researchers Tobias Latzke 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Imitative Reinforcement Learning for Soccer Playing Robots (2006) — 19 citations