Daniel Y. Little

Reinforcement Learning · 2013

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 9 citations into it
• Cognitive Neuroscience — 5 citations into it; #3,406 of 10,852 by trust here, #8,619 by citations

Whom Daniel Y. Little trusts overall

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

1. Paul J Silvia
2. In Proc. Icann
3. Andrew Barto
4. Laurent Itti
5. Stuart J. Russell
6. Pierre Baldi
7. D. Berlyne
8. George Loewenstein
9. Karl J. Friston
10. John C. Gittins

Who trusts Daniel Y. Little overall

1. Rein Houthooft
2. Leshem Choshen
3. Xi Chen
4. Yan Duan
5. Lior Fox
6. John Schulman
7. Yonatan Loewenstein
8. Pieter Abbeel
9. Filip De Turck
10. Deepak Pathak

Papers from Daniel Y. Little's perspective

Ordered by how strongly the researchers Daniel Y. Little 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. Gradient-based learning applied to document recognition
4. Information Theory: 1948-1998 - Guest Editorial
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Reinforcement Learning: An Introduction
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

• Learning and exploration in action-perception loops (2013) — 126 citations