Alexander Grishin

Artificial Intelligence · 2008–2020

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Reinforcement Learning — 22 citations into it
• Computational Theory and Mathematics — 10 citations into it
• Management Science and Operations Research — 10 citations into it
• Electrical and Electronic Engineering — 5 citations into it

Whom Alexander Grishin 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. E. Todorov
9. David Silver
10. Geoffrey E. Hinton

Papers from Alexander Grishin's perspective

Ordered by how strongly the researchers Alexander Grishin 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. Playing Atari with Deep Reinforcement Learning (arXiv.org)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Reinforcement Learning: An Introduction
6. MuJoCo: A physics engine for model-based control
7. Gradient-based learning applied to document recognition
8. Human-level control through deep reinforcement learning
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics (2020) — 282 citations
• The nature of uncertainty (2008) — 85 citations