Andrew Levy

Reinforcement Learning · 2017

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 23 citations into it
• Artificial Intelligence — 13 citations into it; #17,154 of 35,345 by trust here, #21,316 by citations
• Computational Theory and Mathematics — 6 citations into it

Whom Andrew Levy trusts overall

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

1. Richard S. Sutton
2. E. Todorov
3. Doina Precup
4. Andrew Barto
5. Tom Schaul
6. Timothy P. Lillicrap
7. Geoffrey E. Hinton
8. Tom Erez
9. Marcin Andrychowicz
10. Pierre-Luc Bacon

Who trusts Andrew Levy overall

1. Ofir Nachum
2. Alexander C. Li
3. Fei Xia
4. Chengshu Li
5. Sergey Levine
6. Shixiang Shane Gu
7. Pieter Abbeel
8. Lerrel Pinto
9. Danijar Hafner
10. Honglak Lee

Papers from Andrew Levy's perspective

Ordered by how strongly the researchers Andrew Levy 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. GENERATIVE ADVERSARIAL NETS

Their papers

• Hierarchical Actor-Critic (2017) — 82 citations
• Learning Multi-Level Hierarchies with Hindsight (2017) — 382 citations