Anton Raichuk

Reinforcement Learning · 2018–2021

A researcher in the Science corpus: 8 papers; trusts 106 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Anton Raichuk trusts overall

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

  1. John Schulman
  2. Diederik P. Kingma
  3. Ronald J. Williams
  4. Sergey Levine
  5. Geoffrey E. Hinton
  6. Richard S. Sutton
  7. Alex Krizhevsky
  8. Yoshua Bengio
  9. Pieter Abbeel
  10. Jimmy Ba

Who trusts Anton Raichuk overall

  1. Scott Fujimoto
  2. Shansi Zhang
  3. James Queeney
  4. Danijar Hafner
  5. Hiroki Furuta
  6. Shixiang Shane Gu
  7. Devendra Singh Chaplot
  8. Chao Yu
  9. Benjamin Eysenbach

Papers from Anton Raichuk's perspective

Ordered by how strongly the researchers Anton Raichuk 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  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