Sébastien Forestier

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Reinforcement Learning — 27 citations into it; #1,855 of 2,242 by trust here, #2,160 by citations
• Control and Systems Engineering — 9 citations into it
• Cognitive Science & Psychology — 8 citations into it
• Cognitive Neuroscience — 7 citations into it
• Meta & Continual Learning — 7 citations into it
• Developmental and Educational Psychology — 6 citations into it
• Robotics & Control — 5 citations into it

Whom Sébastien Forestier trusts overall

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

1. Pierre-Yves Oudeyer
2. Joel Lehman
3. Kenneth O. Stanley
4. J. Urgen Schmidhuber
5. Adrien Baranes
6. Andrew Barto
7. Cédric Colas
8. Richard S. Sutton
9. Kaiming He
10. Geoffrey E. Hinton

Who trusts Sébastien Forestier overall

1. German Ignacio Parisi
2. Rui Wang
3. Zhen-Yu Tang
4. Pierre-Yves Oudeyer
5. Yoan Mollard
6. Ronald Kemker
7. Joel Lehman

Papers from Sébastien Forestier's perspective

Ordered by how strongly the researchers Sébastien Forestier 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. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning (2017) — 209 citations
• Curiosity-Driven Development of Tool Use Precursors: a Computational Model (2016) — 28 citations