Cayden R. Codel

Reinforcement Learning · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 36 citations into it

Whom Cayden R. Codel trusts overall

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

1. Volodymyr Mnih
2. Marc G. Bellemare
3. Richard S. Sutton
4. David Silver
5. Sergey Levine
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Diederik P. Kingma
9. Alex Graves

Papers from Cayden R. Codel's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. ImageNet: A large-scale hierarchical image database
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Et al
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Asynchronous Methods for Deep Reinforcement Learning
7. Gradient-based learning applied to document recognition
8. Human-level control through deep reinforcement learning
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors (2021) — 73 citations
• MineRL: A Large-Scale Dataset of Minecraft Demonstrations (2019) — 305 citations