Jeremy Stober

Reinforcement Learning · 2008–2015

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 6 citations into it; #2,140 of 2,242 by trust here, #2,125 by citations

Whom Jeremy Stober trusts overall

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

1. Richard S. Sutton
2. Andrew Barto
3. Usama M. Fayyad
4. Silvia Coradeschi
5. Lihong Li
6. Alessandro Saffiotti
7. Bernd Fritzke
8. Michael L. Littman
9. Thomas J. Walsh
10. Andrew McCallum

Who trusts Jeremy Stober overall

1. Samuel Wintermute
2. Marc G. Bellemare
3. Andrea Censi

Papers from Jeremy Stober's perspective

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

1. Gradient-based learning applied to document recognition
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Reinforcement Learning: An Introduction
5. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Attention is All you Need (Neural Information Processing Systems)
10. Reinforcement learning with selective perception and hidden state

Their papers

• From pixels to policies: A bootstrapping agent (2008) — 27 citations
• PLANETARY CANDIDATES OBSERVED BY KEPLER. VI. PLANET SAMPLE FROM Q1–Q16 (47 MONTHS) (2015) — 224 citations