Jesse Clifton

Reinforcement Learning · 2020

A researcher in the Science corpus: 1 paper; trusts 54 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 30 citations into it
• Statistics and Probability — 30 citations into it; #9,053 of 12,932 by trust here, #12,077 by citations
• Artificial Intelligence — 22 citations into it
• Management Science and Operations Research — 10 citations into it; #7,819 of 11,946 by trust here, #11,360 by citations
• Causal Inference & Discovery — 7 citations into it
• Economics and Econometrics — 6 citations into it

Whom Jesse Clifton trusts overall

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

1. Susan A. Murphy
2. Richard S. Sutton
3. Eric B. Laber
4. Hado van Hasselt
5. James M. Robins
6. Dimitri P. Bertsekas
7. Leemon C. Baird III
8. Martin A. Riedmiller
9. Yufan Zhao
10. Donald B. Rubin

Who trusts Jesse Clifton overall

1. Xinkun Nie
2. Emma Brunskill
3. Stefan Wager

Papers from Jesse Clifton's perspective

Ordered by how strongly the researchers Jesse Clifton 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. Reinforcement Learning: An Introduction
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• Q-Learning: Theory and Applications (2020) — 460 citations