Marc Rigter

Artificial Intelligence · with Hawes · 2021

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Marc Rigter trusts overall

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

  1. Yinlam Chow
  2. David Silver
  3. Aviv Tamar
  4. Arthur Guez
  5. Richard S. Sutton
  6. Sylvain Gelly
  7. Michael O. Duff
  8. Andrew Barto
  9. Shie Mannor
  10. Brendan O'Donoghue

Papers from Marc Rigter's perspective

Ordered by how strongly the researchers Marc Rigter 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Human-level control through deep reinforcement learning
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  10. Asynchronous Methods for Deep Reinforcement Learning

Their papers