Gian Carlo Cardarilli

Reinforcement Learning · 2021

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 Gian Carlo Cardarilli trusts overall

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

  1. Richard S. Sutton
  2. Ben J. A. Kröse
  3. Yoshua Bengio
  4. Sergey Ioffe
  5. Geoffrey E. Hinton
  6. Ronald J. Williams
  7. Jakob N. Foerster
  8. David Silver
  9. Volodymyr Mnih
  10. Sainbayar Sukhbaatar

Papers from Gian Carlo Cardarilli's perspective

Ordered by how strongly the researchers Gian Carlo Cardarilli 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. Long Short-Term Memory
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Gradient-based learning applied to document recognition
  7. Reinforcement Learning: An Introduction
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Asynchronous Methods for Deep Reinforcement Learning
  10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers