Doran Chakraborty

Reinforcement Learning · 2010–2013

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Doran Chakraborty trusts overall

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

  1. Ronen I. Brafman
  2. Sridhar Mahadevan
  3. Peter Stone
  4. Michael Kearns
  5. Vincent Conitzer
  6. Moshe Tennenholtz
  7. Richard S. Sutton
  8. Nicholas I. Fisher
  9. Florentin Wörgötter
  10. Satinder Singh

Who trusts Doran Chakraborty overall

  1. Pablo Hernandez-Leal
  2. Stefano V. Albrecht
  3. Peter Stone
  4. Jakob N. Foerster
  5. Samuel Barrett
  6. Yusen Zhan
  7. Karl Tuyls
  8. Richard Y. Chen
  9. Ermo Wei
  10. Matthew E. Taylor

Papers from Doran Chakraborty's perspective

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

  1. Reinforcement Learning: An Introduction
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Near-Optimal Reinforcement Learning in Polynomial Time
  7. R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
  8. Reinforcement Learning: A Survey
  9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  10. Long Short-Term Memory

Their papers