Beren Millidge

Reinforcement Learning · 2021

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 27 citations into it
• Artificial Intelligence — 26 citations into it
• Management Science and Operations Research — 11 citations into it

Whom Beren Millidge trusts overall

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

1. Sergey Levine
2. J. Urgen Schmidhuber
3. Hilbert J. Kappen
4. Richard S. Sutton
5. Peter S. Dayan
6. Geoffrey E. Hinton
7. Christopher J. C. H. Watkins
8. Andrew Barto
9. Ronald J. Williams
10. Konrad Rawlik

Papers from Beren Millidge's perspective

Ordered by how strongly the researchers Beren Millidge 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. 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. Reinforcement Learning: An Introduction
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Understanding the origin of information-seeking exploration in probabilistic objectives for control (2021) — 13 citations