Sergey Pankov

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 50 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 16 citations into it; #1,344 of 2,242 by trust here, #2,222 by citations
• Artificial Intelligence — 12 citations into it; #18,381 of 35,345 by trust here, #34,213 by citations
• Control and Systems Engineering — 5 citations into it; #3,761 of 8,257 by trust here, #7,831 by citations

Whom Sergey Pankov trusts overall

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

1. Ronald J. Williams
2. Richard S. Sutton
3. Sham M. Kakade
4. John Schulman
5. Jan Peters
6. Sergey Levine
7. Anton J. Kleywegt
8. Stefan Schaal
9. Michael I. Jordan
10. Geoffrey E. Hinton

Who trusts Sergey Pankov overall

1. Sergey Levine
2. Aviral Kumar
3. George Tucker
4. Ching-An Cheng
5. Justin Fu

Papers from Sergey Pankov's perspective

Ordered by how strongly the researchers Sergey Pankov trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Reward-estimation variance elimination in sequential decision processes (2018) — 5 citations