Alex Vitvitskyi

Reinforcement Learning · 2020

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 70 citations into it
• Artificial Intelligence — 65 citations into it

Whom Alex Vitvitskyi trusts overall

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

1. Richard S. Sutton
2. Marc G. Bellemare
3. Tom Schaul
4. R´emi Munos
5. Yuri Burda
6. Geoffrey E. Hinton
7. David Silver
8. J. Urgen Schmidhuber
9. Andrew Barto
10. Diederik P. Kingma

Papers from Alex Vitvitskyi's perspective

Ordered by how strongly the researchers Alex Vitvitskyi 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. Human-level control through deep reinforcement learning
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Reinforcement Learning: An Introduction
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. The Arcade Learning Environment: An Evaluation Platform for General Agents
10. ImageNet: A large-scale hierarchical image database

Their papers

• Agent57: Outperforming the Atari Human Benchmark (2020) — 594 citations
• Never Give Up: Learning Directed Exploration Strategies (2020) — 360 citations