Lukas Brunke

Artificial Intelligence · 2021

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

• Artificial Intelligence — 37 citations into it
• Reinforcement Learning — 29 citations into it

Whom Lukas Brunke trusts overall

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

1. Richard S. Sutton
2. Yinlam Chow
3. Sergey Levine
4. Pieter Abbeel
5. Felix Berkenkamp
6. Gabriel Dulac-Arnold
7. Andrew Barto
8. Geoffrey E. Hinton
9. Matteo Turchetta
10. Jeremy H. Gillula

Who trusts Lukas Brunke overall

1. Shangding Gu

Papers from Lukas Brunke's perspective

Ordered by how strongly the researchers Lukas Brunke 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. Reinforcement Learning: An Introduction
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Human-level control through deep reinforcement learning
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning (2021) — 983 citations