Giovanni De Magistris

Reinforcement Learning · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 29 citations into it
• Artificial Intelligence — 28 citations into it

Whom Giovanni De Magistris trusts overall

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

1. Diederik P. Kingma
2. John Schulman
3. Matthew D. Zeiler
4. Volodymyr Mnih
5. Geoffrey E. Hinton
6. Timothy P. Lillicrap
7. Sergey Levine
8. Alex Krizhevsky
9. Yoshua Bengio
10. Jimmy Ba

Who trusts Giovanni De Magistris overall

1. Scott Fujimoto

Papers from Giovanni De Magistris's perspective

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

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

Their papers

• Constrained Exploration and Recovery from Experience Shaping (2018) — 3 citations
• Deep reinforcement learning for high precision assembly tasks (2017) — 300 citations