Nolan Bard

Artificial Intelligence · 2006–2019

A researcher in the Science corpus: 5 papers; trusts 5 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Nolan Bard trusts overall

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

  1. Michael H. Bowling
  2. Richard S. Sutton
  3. Michael Bradley Johanson
  4. Kevin Waugh
  5. Martin A. Zinkevich
  6. Marc G. Bellemare
  7. David Silver
  8. James Goodman
  9. Daniel C. Dennett
  10. Neil Burch

Who trusts Nolan Bard overall

  1. Hengyuan Hu
  2. Neil Burch
  3. Michael Bradley Johanson
  4. Noam Brown
  5. Adam Lerer
  6. Jakob N. Foerster
  7. Hadi Nekoei
  8. Kaiqing Zhang
  9. Chao Yu
  10. Tabish Rashid

Papers from Nolan Bard's perspective

Ordered by how strongly the researchers Nolan Bard 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. Reinforcement Learning: An Introduction
  5. Gradient-based learning applied to document recognition
  6. Asynchronous Methods for Deep Reinforcement Learning
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Human-level control through deep reinforcement learning
  10. ImageNet: A large-scale hierarchical image database

Their papers