Qiang Fu

Reinforcement Learning · with Shi · 2019–2023

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qiang Fu trusts

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

  1. Richard S. Sutton (in Reinforcement Learning)
  2. Andrew Barto (in Reinforcement Learning)

Papers from Qiang Fu's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Language Models are Unsupervised Multitask Learners
  4. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  5. Reinforcement Learning: An Introduction
  6. Human-level control through deep reinforcement learning
  7. Proximal Policy Optimization Algorithms (arXiv.org)
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. ImageNet classification with deep convolutional neural networks
  10. Mastering the game of Go with deep neural networks and tree search

Their papers