Michael Gimelfarb

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 9 citations into it

Whom Michael Gimelfarb trusts overall

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

1. Yuxi Li
2. Dimitri P. Bertsekas
3. Carlton Downey
4. Richard Dearden
5. Volodymyr Mnih
6. John Asmuth
7. Tim Brys
8. Richard S. Sutton
9. Steven E. Shreve
10. Scott Sanner

Papers from Michael Gimelfarb's perspective

Ordered by how strongly the researchers Michael Gimelfarb 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. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Reinforcement Learning: An Introduction
8. Playing Atari with Deep Reinforcement Learning (arXiv.org)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach (2018) — 32 citations