Jarryd Martin

Reinforcement Learning · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 20 citations into it
• Artificial Intelligence — 18 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Jarryd Martin trusts overall

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

1. Alexander L. Strehl
2. Richard S. Sutton
3. Hado van Hasselt
4. Michael L. Littman
5. Andrew Barto
6. Volodymyr Mnih
7. Marc G. Bellemare
8. David Silver
9. Arthur Guez
10. Yitao Liang

Who trusts Jarryd Martin overall

1. Marlos C. Machado
2. Youngwoon Lee
3. Yuhang Song
4. Xingdi Yuan
5. Marc G. Bellemare
6. Shao-Hua Sun

Papers from Jarryd Martin's perspective

Ordered by how strongly the researchers Jarryd Martin 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. Asynchronous Methods for Deep Reinforcement Learning
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. The Arcade Learning Environment: An Evaluation Platform for General Agents
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Count-Based Exploration in Feature Space for Reinforcement Learning (2017) — 132 citations