François Schnitzler

Reinforcement Learning · 2015

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 15 citations into it
• Artificial Intelligence — 12 citations into it; #30,661 of 35,345 by trust here, #27,551 by citations
• Management Science and Operations Research — 6 citations into it
• Statistical Learning Theory — 5 citations into it

Whom François Schnitzler trusts overall

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

1. Richard S. Sutton
2. Sham M. Kakade
3. Michael Kearns
4. Michael L. Littman
5. Andrew Barto
6. Ronen I. Brafman
7. Satinder Singh
8. Carlos Guestrin
9. Alexander L. Strehl
10. Matthew Richardson

Who trusts François Schnitzler overall

1. Thiago D. Simão
2. A. Mahmood
3. Josiah P. Hanna
4. Zhaohan Daniel Guo
5. Ioana Bica
6. Ashvin Nair
7. Iulian Serban

Papers from François Schnitzler's perspective

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

1. Reinforcement Learning: An Introduction
2. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Near-Optimal Reinforcement Learning in Polynomial Time
6. R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Introduction to Reinforcement Learning
9. Long Short-Term Memory
10. On the sample complexity of reinforcement learning.

Their papers

• Off-policy Model-based Learning under Unknown Factored Dynamics (2015) — 28 citations
• Off-policy evaluation for MDPs with unknown structure (2015) — 7 citations