Yang Zheng

Reinforcement Learning · with Liu · 2018

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yang Zheng trusts overall

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

  1. John Schulman
  2. Richard S. Sutton
  3. Volodymyr Mnih
  4. Ronald J. Williams
  5. David Silver

Papers from Yang Zheng's perspective

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

  1. Asynchronous Methods for Deep Reinforcement Learning
  2. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  3. Human-level control through deep reinforcement learning
  4. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  5. Trust Region Policy Optimization (International Conference on Machine Learning)
  6. Playing Atari with Deep Reinforcement Learning (arXiv.org)
  7. ImageNet classification with deep convolutional neural networks
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Proximal Policy Optimization Algorithms (arXiv.org)
  10. End-to-End Training of Deep Visuomotor Policies

Their papers