Andrew Gambardella

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 40 citations into it
• Artificial Intelligence — 39 citations into it
• Management Science and Operations Research — 7 citations into it
• Control and Systems Engineering — 5 citations into it

Whom Andrew Gambardella trusts overall

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

1. Richard S. Sutton
2. Sergey Levine
3. E. Todorov
4. Yoshua Bengio
5. Geoffrey E. Hinton
6. Andrew Barto
7. Diederik P. Kingma
8. Pieter Abbeel
9. Ofir Nachum
10. Alex Krizhevsky

Papers from Andrew Gambardella's perspective

Ordered by how strongly the researchers Andrew Gambardella 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
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. Asynchronous Methods for Deep Reinforcement Learning
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Multitask Soft Option Learning (2019) — 26 citations