Adam S. Lowet

Reinforcement Learning · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 11 citations into it
• Artificial Intelligence — 7 citations into it

Whom Adam S. Lowet trusts overall

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

1. Richard S. Sutton
2. Will Dabney
3. Marc G. Bellemare
4. Andrew Barto
5. R´emi Munos
6. Volodymyr Mnih
7. L. Eon Bottou
8. Peter S. Dayan
9. Dimitri P. Bertsekas
10. Matteo Hessel

Papers from Adam S. Lowet's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Human-level control through deep reinforcement learning
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Reinforcement Learning: An Introduction
7. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
8. ImageNet Large Scale Visual Recognition Challenge
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• Distributional reinforcement learning in the brain (2020) — 66 citations