Aditya Bhatt

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Aditya Bhatt trusts overall

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

  1. Richard S. Sutton
  2. Leemon C. Baird III
  3. Scott Fujimoto
  4. Andrew L. Maas
  5. Sergey Ioffe
  6. Andrew Barto
  7. John Schulman
  8. Geoffrey E. Hinton
  9. Volodymyr Mnih
  10. A. Mahmood

Papers from Aditya Bhatt's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Reinforcement Learning: An Introduction
  9. Human-level control through deep reinforcement learning
  10. ImageNet: A large-scale hierarchical image database

Their papers