Ruiming Zhang

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ruiming Zhang trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Guillaume Lample

Papers from Ruiming Zhang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Long Short-Term Memory
  3. Asynchronous Methods for Deep Reinforcement Learning
  4. Human-level control through deep reinforcement learning
  5. Playing Atari with Deep Reinforcement Learning (arXiv.org)
  6. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. The Arcade Learning Environment: An Evaluation Platform for General Agents
  9. Gradient-based learning applied to document recognition
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers