Enda Howley

Reinforcement Learning · 2013–2021

A researcher in the Science corpus: 5 papers; trusts 25 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Enda Howley trusts overall

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

  1. Ben J. A. Kröse
  2. Richard S. Sutton
  3. Volodymyr Mnih
  4. G. Tesauro
  5. Lucian Busoniu
  6. Sam Devlin
  7. Dana S. Nau
  8. Aram Galstyan
  9. Diederik P. Kingma
  10. Andrew Barto

Who trusts Enda Howley overall

  1. Assaf Hallak
  2. Yahya Al-Dhuraibi

Papers from Enda Howley's perspective

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

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

Their papers