Massimo Vespignani

Reinforcement Learning · 2013–2016

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Massimo Vespignani trusts overall

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

  1. Sergey Levine

Who trusts Massimo Vespignani overall

  1. Vikash Kumar

Papers from Massimo Vespignani's perspective

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

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

Their papers