Rafael Figueiredo Prudencio

Reinforcement Learning · 2022

A researcher in the Science corpus: 1 paper; trusts 91 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 57 citations into it
• Artificial Intelligence — 56 citations into it
• Management Science and Operations Research — 17 citations into it
• Computational Theory and Mathematics — 14 citations into it
• Electrical and Electronic Engineering — 10 citations into it
• Control and Systems Engineering — 9 citations into it
• Evaluation & Benchmarks — 9 citations into it

Whom Rafael Figueiredo Prudencio trusts overall

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

1. Richard S. Sutton
2. Sergey Levine
3. Aviral Kumar
4. Geoffrey E. Hinton
5. Scott Fujimoto
6. Diederik P. Kingma
7. Alex Krizhevsky
8. Justin Fu
9. Yoshua Bengio
10. Doina Precup

Papers from Rafael Figueiredo Prudencio's perspective

Ordered by how strongly the researchers Rafael Figueiredo Prudencio 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Reinforcement Learning: An Introduction
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems (2022) — 424 citations