Larry D. Pyeatt

Reinforcement Learning · 1996–2014

A researcher in the Science corpus: 8 papers; trusts 17 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 38 citations into it
• Anesthesiology and Pain Medicine — 9 citations into it; #8 of 46 by trust here, #18 by citations
• Statistical Learning Theory — 5 citations into it

Whom Larry D. Pyeatt trusts overall

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

1. Ben J. A. Kröse
2. G. Tesauro
3. J. Ross Quinlan
4. David Chapman
5. Andrew McCallum
6. Richard S. Sutton
7. Christopher J. C. H. Watkins
8. Peter S. Dayan
9. Leslie Pack Kaelbling
10. Brett L. Moore

Who trusts Larry D. Pyeatt overall

1. Kenneth O. Stanley
2. Aaron M. Roth
3. Pablo Hernandez-Leal
4. Chao Yu
5. J. Urgen Schmidhuber
6. Risto Miikkulainen
7. Shimon Whiteson
8. Christian Igel
9. Brett L. Moore
10. Nicholay Topin

Papers from Larry D. Pyeatt's perspective

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

1. Reinforcement Learning: An Introduction
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Reinforcement learning for closed-loop propofol anesthesia: a study in human volunteers (2014) — 67 citations
• An Adaptive Neural Network Filter for Improved Patient State Estimation in Closed-Loop Anesthesia Control (2011) — 13 citations
• Reinforcement Learning: A Novel Method for Optimal Control of Propofol-Induced Hypnosis (2011) — 31 citations
• Reinforcement Learning for Closed-Loop Propofol Anesthesia: A Human Volunteer Study (2010) — 18 citations
• Intelligent Control of Closed-Loop Sedation in Simulated ICU Patients (2004) — 20 citations
• Reinforcement Learning with Decision Trees (2003) — 23 citations
• Decision Tree Function Approximation in Reinforcement Learning (1999)
• A comparison between cellular encoding and direct encoding for genetic neural networks (1996)