Boris Belousov

Reinforcement Learning · 2017

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 14 citations into it
• Artificial Intelligence — 10 citations into it
• Statistical and Nonlinear Physics — 6 citations into it

Whom Boris Belousov trusts overall

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

1. Jan Peters
2. Richard S. Sutton
3. Andrew Barto
4. Shun-ichi Amari
5. Sham M. Kakade
6. Leemon C. Baird III
7. Yasemin Altun
8. Stefan Schaal
9. E. Todorov
10. Sebastian Nowozin

Who trusts Boris Belousov overall

1. Ofir Nachum
2. Bo Dai

Papers from Boris Belousov's perspective

Ordered by how strongly the researchers Boris Belousov 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. Reinforcement Learning: An Introduction
4. GENERATIVE ADVERSARIAL NETS
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• f-Divergence constrained policy improvement (2017) — 30 citations