Han Zhong

Reinforcement Learning · 2023

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

Subfields

Whom Han Zhong trusts

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

  1. Aadirupa Saha (in Reinforcement Learning)

Papers from Han Zhong's perspective

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

  1. Proximal Policy Optimization Algorithms (arXiv.org)
  2. GENERATIVE ADVERSARIAL NETS
  3. ImageNet classification with deep convolutional neural networks
  4. 5分で分かる!? 有名論文ナナメ読み:Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Deep Reinforcement Learning from Human Preferences (Neural Information Processing Systems)
  8. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Gradient-based learning applied to document recognition

Their papers