Andrea Michi

Reinforcement Learning · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 37 citations into it
• Artificial Intelligence — 35 citations into it
• Management Science and Operations Research — 11 citations into it
• Control and Systems Engineering — 6 citations into it

Whom Andrea Michi trusts overall

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

1. Richard S. Sutton
2. Doina Precup
3. Andrew Barto
4. Yoshua Bengio
5. Geoffrey E. Hinton
6. Martin A. Riedmiller
7. Sergey Levine
8. Diederik P. Kingma
9. Alex Krizhevsky
10. Lihong Li

Papers from Andrea Michi's perspective

Ordered by how strongly the researchers Andrea Michi 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. Reinforcement Learning: An Introduction
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Hyperparameter Selection for Offline Reinforcement Learning (2020) — 163 citations