Bai Li

Reinforcement Learning · with Li · 2023

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bai Li trusts overall

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

  1. Richard S. Sutton
  2. Andrew Y. Ng

Papers from Bai Li's perspective

Ordered by how strongly the researchers Bai Li 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  9. Proximal Policy Optimization Algorithms (arXiv.org)
  10. Playing Atari with Deep Reinforcement Learning (arXiv.org)

Their papers