Miroslav Bogdanovic

Reinforcement Learning · 2015–2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 21 citations into it
• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom Miroslav Bogdanovic trusts overall

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

1. Yavar Naddaf
2. Karen Simonyan
3. Marc G. Bellemare
4. Volodymyr Mnih
5. Andrea Vedaldi
6. Andrew Zisserman
7. Koray Kavukcuoglu
8. Geoffrey E. Hinton
9. Richard S. Sutton
10. Alex Graves

Who trusts Miroslav Bogdanovic overall

1. Niels Justesen
2. Sebastian Risi

Papers from Miroslav Bogdanovic's perspective

Ordered by how strongly the researchers Miroslav Bogdanovic 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Asynchronous Methods for Deep Reinforcement Learning
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• TriFinger: An Open-Source Robot for Learning Dexterity (2020) — 82 citations
• Deep Apprenticeship Learning for Playing Video Games (2015) — 20 citations