Samuele Tosatto

Reinforcement Learning · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Samuele Tosatto trusts overall

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

  1. Martin L. Puterman
  2. László Györfi
  3. Damien Ernst
  4. Pierre Geurts
  5. R´emi Munos
  6. Csaba Szepesvari
  7. Amir-massoud Farahmand
  8. András Antos
  9. Jens Kober
  10. Michael Kohler

Who trusts Samuele Tosatto overall

  1. Jinglin Chen
  2. Srijita Das
  3. Nan Jiang
  4. Ruosong Wang
  5. Amir-massoud Farahmand
  6. Zhuoran Yang
  7. Pascal Klink
  8. Sriraam Natarajan

Papers from Samuele Tosatto's perspective

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

  1. Reinforcement Learning: An Introduction
  2. ImageNet classification with deep convolutional neural networks
  3. Markov Decision Processes: Discrete Stochastic Dynamic Programming
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Tree-Based Batch Mode Reinforcement Learning
  8. Human-level control through deep reinforcement learning
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet: A large-scale hierarchical image database

Their papers