Lifeng Liu

Reinforcement Learning · with Chen · 2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lifeng Liu trusts overall

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

  1. Richard S. Sutton
  2. Diederik P. Kingma
  3. Tom Erez
  4. David Silver
  5. E. Todorov
  6. Sergey Ioffe
  7. Andrew W. Moore
  8. Andrew Barto
  9. Volodymyr Mnih
  10. Yuval Tassa

Who trusts Lifeng Liu overall

  1. Che Wang
  2. Aviral Kumar

Papers from Lifeng Liu's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Reinforcement Learning: An Introduction
  6. Gradient-based learning applied to document recognition
  7. Human-level control through deep reinforcement learning
  8. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  9. Playing Atari with Deep Reinforcement Learning (arXiv.org)
  10. Long Short-Term Memory

Their papers