Yonatan Loewenstein

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 18 citations into it; #1,512 of 2,242 by trust here, #2,125 by citations
• Artificial Intelligence — 12 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Yonatan Loewenstein trusts overall

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

1. Richard S. Sutton
2. Andrew W. Moore
3. Alexander L. Strehl
4. Michael L. Littman
5. Andrew Barto
6. Leslie Pack Kaelbling
7. Andrew Y. Ng
8. Peter S. Dayan
9. Gavin Adrian Rummery
10. Christopher J. C. H. Watkins

Who trusts Yonatan Loewenstein overall

1. Romain Laroche

Papers from Yonatan Loewenstein's perspective

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

1. Reinforcement Learning: An Introduction
2. Human-level control through deep reinforcement learning
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
9. Learning Multiple Layers of Features from Tiny Images
10. Curious model-building control systems

Their papers

• DORA The Explorer: Directed Outreaching Reinforcement Action-Selection (2018) — 70 citations