Brandon Cui

Reinforcement Learning · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 27 citations into it
• Artificial Intelligence — 26 citations into it
• Cognitive Neuroscience — 5 citations into it

Whom Brandon Cui trusts overall

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

1. Amir-massoud Farahmand
2. Diederik P. Kingma
3. Marc Peter Deisenroth
4. Weiwei Li
5. Sergey Levine
6. Volodymyr Mnih
7. Geoffrey E. Hinton
8. Richard S. Sutton
9. E. Todorov
10. Tuomas Haarnoja

Papers from Brandon Cui's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Off-Belief Learning (2021) — 97 citations
• Control-Aware Representations for Model-based Reinforcement Learning (2020) — 16 citations