Ellen R. Novoseller

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 25 citations into it
• Artificial Intelligence — 24 citations into it
• Management Science and Operations Research — 13 citations into it

Whom Ellen R. Novoseller trusts overall

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

1. Thorsten Joachims
2. Richard S. Sutton
3. Steven L. Scott
4. Shipra Agrawal
5. Riad Akrour
6. Pannagadatta K. Shivaswamy
7. Olivier Chapelle
8. Marc Schoenauer
9. Wei Chu
10. Kevin P. Murphy

Who trusts Ellen R. Novoseller overall

1. Banghua Zhu
2. Yichong Xu
3. Jiantao Jiao
4. Ruosong Wang
5. Michael I. Jordan

Papers from Ellen R. Novoseller's perspective

Ordered by how strongly the researchers Ellen R. Novoseller 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Reinforcement Learning: An Introduction
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Dueling Posterior Sampling for Preference-Based Reinforcement Learning (2019) — 75 citations