Yash Chandak

Reinforcement Learning · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yash Chandak trusts overall

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

  1. Richard S. Sutton
  2. Philip S. Thomas
  3. Geoffrey E. Hinton
  4. Doina Precup
  5. Andrew Barto
  6. Satinder Singh
  7. Stefan Schaal
  8. Yoshua Bengio
  9. Ronald J. Williams
  10. Radford M. Neal

Who trusts Yash Chandak overall

  1. Xinting Huang
  2. Wei-Cheng Tseng
  3. P. Liotet
  4. Avi Singh
  5. Khimya Khetarpal
  6. Annie Xie
  7. Ayush Jain
  8. Fabrice Normandin
  9. Matthew Riemer
  10. Sae-Young Chung

Papers from Yash Chandak's perspective

Ordered by how strongly the researchers Yash Chandak 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Reinforcement Learning: An Introduction
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers