François Charpillet

Reinforcement Learning · 2001–2015

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 10 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it; #13,789 of 21,575 by trust here, #21,103 by citations

Whom François Charpillet trusts overall

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

1. Pedro F. Felzenszwalb
2. Richard S. Sutton
3. Jonathan A. J. Deutscher
4. Varun Ganapathi
5. Jamie Shotton
6. Andrew Barto
7. Dan Huttenlocher
8. Andrew Blake

Who trusts François Charpillet overall

1. Frans Adriaan Oliehoek
2. Jilles Steeve Dibangoye
3. Chris Amato
4. Sven Seuken
5. Shlomo Zilberstein
6. Ziyun Cai
7. Bikramjit Banerjee
8. Matthijs T. J. Spaan

Papers from François Charpillet's perspective

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

1. Pictorial Structures for Object Recognition
2. Real-time human pose recognition in parts from single depth images
3. ImageNet classification with deep convolutional neural networks
4. Articulated body motion capture by annealed particle filtering (Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662))
5. Gradient-based learning applied to document recognition
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Introduction to Reinforcement Learning
8. Distinctive Image Features from Scale-Invariant Keypoints
9. Real-Time Human Pose Tracking from Range Data
10. ImageNet: A large-scale hierarchical image database

Their papers

• Pose estimation for a partially observable human body from RGB-D cameras (2015) — 12 citations
• Point-based Dynamic Programming for DEC-POMDPs (2006) — 93 citations
• Multi-Agent Systems by Incremental Gradient Reinforcement Learning (2001) — 45 citations