Borislav Mavrin

Reinforcement Learning · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 49 citations into it
• Artificial Intelligence — 36 citations into it
• Management Science and Operations Research — 14 citations into it
• Economics and Econometrics — 7 citations into it
• Statistics and Probability — 6 citations into it

Whom Borislav Mavrin trusts overall

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

1. Richard S. Sutton
2. Marc G. Bellemare
3. Peter Auer
4. Andrew Barto
5. Will Dabney
6. R´emi Munos
7. Csaba Szepesvari
8. Volodymyr Mnih
9. Georg Ostrovski
10. Christopher J. C. H. Watkins

Papers from Borislav Mavrin's perspective

Ordered by how strongly the researchers Borislav Mavrin 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. Reinforcement Learning: An Introduction
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Asynchronous Methods for Deep Reinforcement Learning
9. Human-level control through deep reinforcement learning
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• QUOTA: The Quantile Option Architecture for Reinforcement Learning (2018) — 33 citations
• Distributional Reinforcement Learning for Efficient Exploration (2019) — 107 citations