Shalabh Bhatnagar

Reinforcement Learning · 2007–2014

A researcher in the Science corpus: 9 papers; trusts 52 researchers and is trusted by 120 researchers here, as inferred from the citation graph.

Subfields

Whom Shalabh Bhatnagar trusts overall

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

  1. Richard S. Sutton
  2. John N. Tsitsiklis
  3. Vijay R. Konda
  4. Andrew Barto
  5. Jan Peters
  6. Sham M. Kakade
  7. Vivek Shripad Borkar
  8. Dimitri P. Bertsekas
  9. Ronald J. Williams
  10. Martin L. Puterman

Who trusts Shalabh Bhatnagar overall

  1. Philip S. Thomas
  2. Richard S. Sutton
  3. Hado van Hasselt
  4. Kamil Andrzej Ciosek
  5. Csaba Szepesvari
  6. Hamid Reza Maei
  7. Thomas Degris
  8. Ivo Grondman
  9. Mohammad Ghavamzadeh
  10. Shimon Whiteson

Papers from Shalabh Bhatnagar's perspective

Ordered by how strongly the researchers Shalabh Bhatnagar 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. Reinforcement Learning: An Introduction
  4. Gradient-based learning applied to document recognition
  5. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers