Sören Mindermann

Reinforcement Learning · 2017

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 11 citations into it
• Artificial Intelligence — 10 citations into it

Whom Sören Mindermann trusts overall

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

1. Andrew Y. Ng
2. Pieter Abbeel
3. David Hilton Wolpert
4. Stuart J. Russell
5. Owain Evans
6. Brian D. Ziebart
7. Richard E. Nisbett
8. Geoffrey E. Hinton
9. William G. Macready
10. J. Urgen Schmidhuber

Who trusts Sören Mindermann overall

1. Iason Gabriel

Papers from Sören Mindermann's perspective

Ordered by how strongly the researchers Sören Mindermann 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Reinforcement Learning: An Introduction
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Occam's razor is insufficient to infer the preferences of irrational agents (2017) — 97 citations