Billy Okal

Reinforcement Learning · 2014–2016

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Billy Okal trusts overall

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

  1. Morgan Quigley
  2. Andrew Barto
  3. Richard S. Sutton
  4. Andrew Y. Ng
  5. Deepak Ramachandran
  6. Dizan Vasquez
  7. Emrah Akin Sisbot
  8. Mehdi Moussaïd
  9. Eyal Amir
  10. Rachid Alami

Who trusts Billy Okal overall

  1. Lei Tai
  2. Christoforos Mavrogiannis

Papers from Billy Okal's perspective

Ordered by how strongly the researchers Billy Okal 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Apprenticeship learning via inverse reinforcement learning
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers