Raphael Fonteneau

Reinforcement Learning · 2012–2013

A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 35 citations into it; #1,783 of 2,242 by trust here, #1,844 by citations
• Artificial Intelligence — 27 citations into it; #26,563 of 35,345 by trust here, #19,873 by citations
• Management Science and Operations Research — 7 citations into it
• Computational Theory and Mathematics — 6 citations into it
• Statistics and Probability — 6 citations into it

Whom Raphael Fonteneau trusts overall

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

1. Andrew Barto
2. Justin A. Boyan
3. Richard S. Sutton
4. Damien Ernst
5. R´emi Munos
6. J. Kolter
7. Steven J. Bradtke
8. Jan Peters
9. Ryuichi Oka
10. Geoffrey J. Gordon

Who trusts Raphael Fonteneau overall

1. Ian Osband
2. Yaqi Duan
3. Ruosong Wang
4. Travis Mandel
5. Ziyang Tang
6. Ofir Nachum
7. Nan Jiang
8. Lihong Li
9. Benjamin Van Roy
10. Mengdi Wang

Papers from Raphael Fonteneau's perspective

Ordered by how strongly the researchers Raphael Fonteneau trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Reinforcement Learning: An Introduction
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Batch Mode Reinforcement Learning based on the Synthesis of Artificial Trajectories (2012) — 81 citations
• Policy Search in a Space of Simple Closed-form Formulas: Towards Interpretability of Reinforcement Learning (2012) — 30 citations
• An Optimistic Posterior Sampling Strategy for Bayesian Reinforcement Learning (2013) — 13 citations