Michael Zhang

Reinforcement Learning · with Abbeel · 2017

A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Zhang trusts overall

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

  1. John Schulman
  2. Sergey Levine
  3. Richard S. Sutton
  4. E. Todorov
  5. Pieter Abbeel
  6. Geoffrey E. Hinton
  7. Jan Peters
  8. Yoshua Bengio
  9. Diederik P. Kingma
  10. J. Urgen Schmidhuber

Who trusts Michael Zhang overall

  1. Sanmit Narvekar

Papers from Michael Zhang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Reinforcement Learning: An Introduction
  8. Et al
  9. ImageNet: A large-scale hierarchical image database
  10. Human-level control through deep reinforcement learning

Their papers