Sarah Osentoski

Artificial Intelligence · 2010–2015

A researcher in the Science corpus: 4 papers; trusts 16 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it; #5,381 of 35,345 by trust here, #9,870 by citations
• Reinforcement Learning — 25 citations into it; #499 of 2,242 by trust here, #1,253 by citations
• Control and Systems Engineering — 20 citations into it; #8,063 of 8,257 by trust here, #2,528 by citations
• Robotics & Control — 12 citations into it
• Biomedical Engineering — 6 citations into it

Whom Sarah Osentoski trusts overall

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

1. J. Ross Quinlan
2. Morgan Quigley
3. Andrew Y. Ng
4. Stefan Schaal
5. J. Kolter
6. George Dimitri Konidaris
7. Richard S. Sutton
8. Jan Peters
9. Andrew Barto
10. Michael I. Jordan

Who trusts Sarah Osentoski overall

1. George Dimitri Konidaris
2. Philip S. Thomas
3. Sridhar Mahadevan
4. Andrew Barto
5. Scott Niekum
6. Vukosi Marivate
7. Justin Domke
8. Bo Liu
9. Marc G. Bellemare
10. Michael L. Littman

Papers from Sarah Osentoski's perspective

Ordered by how strongly the researchers Sarah Osentoski 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. Reinforcement Learning: An Introduction
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
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. GENERATIVE ADVERSARIAL NETS

Their papers

• Learning grounded finite-state representations from unstructured demonstrations (2015) — 228 citations
• Incremental Semantically Grounded Learning from Demonstration (2013) — 135 citations
• Value Function Approximation in Reinforcement Learning Using the Fourier Basis (2011) — 333 citations
• Crowdsourcing for closed-loop control (2010)