Stephen Giguere

Artificial Intelligence · 2013–2019

A researcher in the Science corpus: 3 papers; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 78 citations into it
• Reinforcement Learning — 59 citations into it
• Optimization & Training — 37 citations into it
• Management Science and Operations Research — 32 citations into it
• Computational Theory and Mathematics — 24 citations into it
• Computational Mechanics — 19 citations into it
• Mathematical Optimization — 14 citations into it
• AI Ethics, Fairness & Society — 13 citations into it

Whom Stephen Giguere trusts overall

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

1. Richard S. Sutton
2. Dimitri P. Bertsekas
3. Philip S. Thomas
4. Stephen W. Carden
5. Andrew Barto
6. Sridhar Mahadevan
7. Michail G. Lagoudakis
8. George Dimitri Konidaris
9. Amir Beck
10. J. Kolter

Papers from Stephen Giguere's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Reinforcement Learning: An Introduction
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. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Preventing undesirable behavior of intelligent machines (2019) — 189 citations
• Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces (2014) — 73 citations
• Basis Adaptation for Sparse Nonlinear Reinforcement Learning (2013) — 11 citations