Christopher Stanton

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 21 citations into it
• Artificial Intelligence — 19 citations into it; #18,526 of 35,345 by trust here, #28,481 by citations

Whom Christopher Stanton trusts overall

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

1. Marc G. Bellemare
2. D. Berlyne
3. Volodymyr Mnih
4. Richard S. Sutton
5. Sham M. Kakade
6. Joel Lehman
7. Tom Schaul
8. Hado van Hasselt
9. Michael Kearns
10. David Silver

Who trusts Christopher Stanton overall

1. Jeff Clune
2. Yuri Burda
3. Harrison Edwards
4. Adrien Ecoffet
5. Amos J. Storkey

Papers from Christopher Stanton's perspective

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

Their papers

• Deep Curiosity Search: Intra-Life Exploration Improves Performance on Challenging Deep Reinforcement Learning Problems (2018) — 42 citations