Stefania Pellegrinelli

Reinforcement Learning · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 13 citations into it; #1,964 of 2,242 by trust here, #2,063 by citations
• Artificial Intelligence — 8 citations into it

Whom Stefania Pellegrinelli trusts overall

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

1. Siddhartha S. Srinivasa
2. Anca Dragan
3. Brian D. Ziebart
4. Sergey Levine
5. Michael L. Littman
6. Leslie Pack Kaelbling
7. Individualized Treat
8. Chelsea Finn
9. Jonathan Ho
10. Jim Mainprice

Who trusts Stefania Pellegrinelli overall

1. Dylan P. Losey

Papers from Stefania Pellegrinelli's perspective

Ordered by how strongly the researchers Stefania Pellegrinelli 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. GENERATIVE ADVERSARIAL NETS
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Shared autonomy via hindsight optimization for teleoperation and teaming (2017) — 260 citations