Farhan Tejani

Reinforcement Learning · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Farhan Tejani trusts overall

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

  1. Richard S. Sutton
  2. Andrew Barto
  3. George Dimitri Konidaris
  4. Satinder Singh
  5. Christel Baier
  6. Volodymyr Mnih

Papers from Farhan Tejani's perspective

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

  1. Asynchronous Methods for Deep Reinforcement Learning
  2. Human-level control through deep reinforcement learning
  3. Et al
  4. ImageNet classification with deep convolutional neural networks
  5. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Policy Gradient Methods for Reinforcement Learning with Function Approximation
  10. Long Short-Term Memory

Their papers