David Freelan

Reinforcement Learning · 2018

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 David Freelan trusts overall

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

  1. Michael L. Littman
  2. Ronald J. Williams
  3. Richard S. Sutton
  4. David Silver
  5. Junling Hu
  6. Qiang Liu
  7. Amy Greenwald

Papers from David Freelan's perspective

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

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

Their papers