Paul Bourgine

Reinforcement Learning · 1992–2010

A researcher in the Science corpus: 5 papers; trusts 7 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 10 citations into it

Whom Paul Bourgine trusts overall

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

1. Richard S. Sutton
2. Leslie Pack Kaelbling
3. J. Urgen Schmidhuber
4. Andrew W. Moore
5. Andrew Barto
6. John N. Tsitsiklis
7. Christopher J. C. H. Watkins
8. Christopher G. Atkeson
9. Satinder Singh
10. Peter S. Dayan

Who trusts Paul Bourgine overall

1. Tom Froese
2. Lihong Li
3. Xabier E. Barandiaran
4. Evan Thompson
5. Nikos A. Vlassis
6. Istvan Szita
7. Craig Boutilier
8. Tom Ziemke
9. Pascal Poupart
10. William Winn

Papers from Paul Bourgine's perspective

Ordered by how strongly the researchers Paul Bourgine 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. Long Short-Term Memory
5. Dynamic Programming and Markov Processes
6. Reinforcement Learning: An Introduction
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Reinforcement Learning: A Survey
9. Curious model-building control systems
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Topological and causal structure of the yeast transcriptional regulatory network (2002) — 661 citations
• Autopoiesis and Cognition (2004) — 591 citations
• Cell Lineage Reconstruction of Early Zebrafish Embryos Using Label-Free Nonlinear Microscopy (2010) — 359 citations
• Exploration of Multi-State Environments: Local Measures and Back-Propagation of Uncertainty (1999)
• Distributed Optimization by Ant Colonies (1992)