Nick Hawes

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nick Hawes trusts overall

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

  1. Yinlam Chow
  2. David Silver
  3. Aviv Tamar
  4. Richard S. Sutton
  5. Arthur Guez
  6. Andrew Barto
  7. Sylvain Gelly
  8. Michael O. Duff

Papers from Nick Hawes's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Human-level control through deep reinforcement learning
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  8. Long Short-Term Memory
  9. Optimal learning: computational procedures for bayes-adaptive markov decision processes
  10. The variance of discounted Markov decision processes

Their papers