Bernd Porr

Reinforcement Learning · 2005–2019

A researcher in the Science corpus: 2 papers; trusts 32 researchers and is trusted by 101 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 87 citations into it; #218 of 2,242 by trust here, #494 by citations
• Artificial Intelligence — 60 citations into it; #2,331 of 35,345 by trust here, #5,565 by citations
• Management Science and Operations Research — 18 citations into it
• Computational Theory and Mathematics — 15 citations into it
• Control and Systems Engineering — 12 citations into it
• Cognitive Neuroscience — 6 citations into it
• Aerospace Engineering — 5 citations into it

Whom Bernd Porr trusts overall

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

1. Richard S. Sutton
2. Csaba Szepesvari
3. Jan Peters
4. Andrew Barto
5. Michael L. Littman
6. Satinder Singh
7. Andrew Y. Ng
8. Ronald J. Williams
9. Dimitri P. Bertsekas
10. Nate Kohl

Who trusts Bernd Porr overall

1. J. Urgen Schmidhuber
2. Huizhen Yu
3. Sergey Levine
4. Aviv Tamar
5. Chelsea Finn
6. Hado van Hasselt
7. Jan Peters
8. Fernando Diaz
9. Abhijit Gosavi
10. Ashkan Ertefaie

Papers from Bernd Porr's perspective

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

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

Their papers

• Reinforcement learning (2019) — 3,375 citations
• Fast biped walking with a reflexive controller and real-time policy searching (2005) — 33 citations