Nicolas Meuleau

Reinforcement Learning · 1998–2007

A researcher in the Science corpus: 7 papers; trusts 20 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 40 citations into it; #1,035 of 2,242 by trust here, #978 by citations
• Game & Decision Theory — 6 citations into it

Whom Nicolas Meuleau trusts overall

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

1. Richard S. Sutton
2. Leemon C. Baird III
3. Leslie Pack Kaelbling
4. Andrew W. Moore
5. Andrew Barto
6. J. Urgen Schmidhuber
7. Martin L. Puterman
8. Satinder Singh
9. Michael L. Littman
10. Ben J. A. Kröse

Who trusts Nicolas Meuleau overall

1. J. Urgen Schmidhuber
2. Daan Wierstra
3. Lihong Li
4. Nikos A. Vlassis
5. Leonid Peshkin
6. Marc Toussaint
7. Sergey Levine
8. Marvin Zhang
9. Huizhen Yu
10. Craig Boutilier

Papers from Nicolas Meuleau's perspective

Ordered by how strongly the researchers Nicolas Meuleau 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Reinforcement Learning: An Introduction
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Learning to Cooperate via Policy Search (2000) — 312 citations
• Dynamic Programming for Structured Continuous Markov Decision Problems (2004) — 114 citations
• Off-Policy Policy Search (2007) — 18 citations
• Learning Policies with External Memory (1999)
• Exploration of Multi-State Environments: Local Measures and Back-Propagation of Uncertainty (1999)
• Learning Finite-State Controllers for Partially Observable Environments (1999)
• Hierarchical Solution of Markov Decision Processes using Macro-actions (1998)