Gregory M. Gremillion

Reinforcement Learning · 2009–2019

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gregory M. Gremillion trusts overall

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

  1. Richard S. Sutton
  2. Sham M. Kakade
  3. Diederik P. Kingma
  4. Andrew Barto
  5. Aude Gemma Billard
  6. Geoffrey E. Hinton
  7. Jimmy Ba
  8. Tuomas Haarnoja
  9. Todd Hester
  10. Timothy P. Lillicrap

Who trusts Gregory M. Gremillion overall

  1. Scott Fujimoto
  2. Larry H. Matthies
  3. Trevor Ablett

Papers from Gregory M. Gremillion's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Reinforcement Learning: An Introduction
  5. Gradient-based learning applied to document recognition
  6. Human-level control through deep reinforcement learning
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Continuous control with deep reinforcement learning (International Conference on Learning Representations)

Their papers