Lisa A. Torrey

Reinforcement Learning · 2005–2013

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 9 citations into it
• Artificial Intelligence — 6 citations into it; #18,408 of 35,345 by trust here, #23,077 by citations

Whom Lisa A. Torrey trusts overall

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

1. Bernhard Schölkopf
2. Richard S. Sutton
3. Peter Stone
4. Longxin Lin
5. C. Burges
6. Satinder Singh
7. Alex Smola
8. Matthew E. Taylor
9. Craig Boutilier
10. Andrew Barto

Who trusts Lisa A. Torrey overall

1. Yusen Zhan
2. Matthew E. Taylor
3. Christian Wirth
4. Dong-Ki Kim
5. Riad Akrour
6. Shayegan Omidshafiei
7. Changxi Zhu
8. Yongyuan Liang
9. Andrea Lockerd Thomaz
10. Gerhard Neumann

Papers from Lisa A. Torrey's perspective

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

1. Reinforcement Learning: An Introduction
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Teaching on a budget: agents advising agents in reinforcement learning (2013) — 202 citations
• Giving Advice about Preferred Actions to Reinforcement Learners Via Knowledge-Based Kernel Regression (2005) — 107 citations