Fred Shentu

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fred Shentu trusts overall

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

  1. John Schulman

Papers from Fred Shentu's perspective

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

  1. Asynchronous Methods for Deep Reinforcement Learning
  2. Human-level control through deep reinforcement learning
  3. Trust Region Policy Optimization (International Conference on Machine Learning)
  4. MuJoCo: A physics engine for model-based control
  5. ImageNet classification with deep convolutional neural networks
  6. End-to-End Training of Deep Visuomotor Policies
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Gradient-based learning applied to document recognition
  9. Mastering the game of Go with deep neural networks and tree search
  10. Long Short-Term Memory

Their papers