Kexin Shi

IEEE International Conference on Robotics and Automation · 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.

Whom Kexin Shi trusts overall

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

  1. Xue Bin Peng
  2. Stéphane Ross
  3. John Schulman

Papers from Kexin Shi's perspective

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

  1. Proximal Policy Optimization Algorithms (arXiv.org)
  2. A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. SIMBICON: simple biped locomotion control (ACM Transactions on Graphics)
  7. Long Short-Term Memory
  8. Terrain-adaptive locomotion skills using deep reinforcement learning
  9. Human-level control through deep reinforcement learning
  10. Gradient-based learning applied to document recognition

Their papers