David Rolnick

Reinforcement Learning · with Ahuja · 2018

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 18 citations into it; #752 of 2,242 by trust here, #404 by citations

Whom David Rolnick trusts overall

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

1. Longxin Lin
2. R´emi Munos
3. Zhizhong Li
4. Volodymyr Mnih
5. Friedemann Zenke
6. Geoffrey E. Hinton
7. James Kirkpatrick
8. Richard S. Sutton
9. Kieran Milan
10. Yoshua Bengio

Who trusts David Rolnick overall

1. Xisen Jin
2. Rahaf Aljundi
3. Lucas Caccia
4. Arslan Chaudhry
5. B. Ermiş
6. Massimo Caccia
7. Oleksiy Ostapenko
8. Gyuhak Kim
9. Junyi Du
10. Matthias De Lange

Papers from David Rolnick's perspective

Ordered by how strongly the researchers David Rolnick 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Human-level control through deep reinforcement learning
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Experience Replay for Continual Learning (2018) — 1,717 citations