Piyush Khandelwal

Reinforcement Learning · 2012–2022

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Piyush Khandelwal trusts overall

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

  1. Richard S. Sutton
  2. Rémi Coulom
  3. Andrew Barto
  4. Jing Peng
  5. Levente Kocsis
  6. Ryuichi Oka
  7. George Dimitri Konidaris
  8. Peter Auer
  9. Yavar Naddaf
  10. Ronald J. Williams

Who trusts Piyush Khandelwal overall

  1. Marc G. Bellemare
  2. José Antonio Arjona-Medina
  3. Joel Veness
  4. Yujin Tang
  5. Michael Gillhofer

Papers from Piyush Khandelwal's perspective

Ordered by how strongly the researchers Piyush Khandelwal 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. Playing Atari with Deep Reinforcement Learning (arXiv.org)
  4. Gradient-based learning applied to document recognition
  5. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Mastering the game of Go with deep neural networks and tree search
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Mastering the game of Go without human knowledge
  10. Long Short-Term Memory

Their papers