Dmytro Korenkevych

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 17 citations into it
• Artificial Intelligence — 14 citations into it

Whom Dmytro Korenkevych trusts overall

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

1. Sergey Levine
2. Richard S. Sutton
3. Yoshua Bengio
4. James Bergstra
5. Pieter Abbeel
6. John Schulman
7. Geoffrey E. Hinton
8. Tuomas Haarnoja
9. Diederik P. Kingma
10. Yan Duan

Who trusts Dmytro Korenkevych overall

1. Khimya Khetarpal

Papers from Dmytro Korenkevych's perspective

Ordered by how strongly the researchers Dmytro Korenkevych 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Reinforcement Learning: An Introduction
8. ImageNet: A large-scale hierarchical image database
9. Trust Region Policy Optimization (International Conference on Machine Learning)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Benchmarking Reinforcement Learning Algorithms on Real-World Robots (2018) — 189 citations