Pavel Shvechikov

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Reinforcement Learning — 30 citations into it
• Computational Theory and Mathematics — 11 citations into it
• Management Science and Operations Research — 11 citations into it
• Electrical and Electronic Engineering — 6 citations into it

Whom Pavel Shvechikov trusts overall

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

1. Hado van Hasselt
2. Richard S. Sutton
3. Will Dabney
4. Scott Fujimoto
5. Marc G. Bellemare
6. R´emi Munos
7. Tuomas Haarnoja
8. David Silver
9. E. Todorov
10. Geoffrey E. Hinton

Who trusts Pavel Shvechikov overall

1. Ilya Kostrikov
2. Che Wang
3. Rasool Fakoor
4. Hiroki Furuta

Papers from Pavel Shvechikov's perspective

Ordered by how strongly the researchers Pavel Shvechikov 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. Reinforcement Learning: An Introduction
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Trust Region Policy Optimization (International Conference on Machine Learning)
9. Playing Atari with Deep Reinforcement Learning (arXiv.org)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics (2020) — 282 citations
• Improving Stability in Deep Reinforcement Learning with Weight Averaging (2018)