Justinas Lingys

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Justinas Lingys trusts overall

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

  1. Richard S. Sutton
  2. David Silver
  3. Kurt Hornik
  4. Volodymyr Mnih
  5. Mohammad Alizadeh
  6. Andrew Barto
  7. John Schulman
  8. Timothy P. Lillicrap
  9. Shalabh Bhatnagar
  10. Geoffrey E. Hinton

Who trusts Justinas Lingys overall

  1. Chaoyun Zhang

Papers from Justinas Lingys's perspective

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

  1. Asynchronous Methods for Deep Reinforcement Learning
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Trust Region Policy Optimization (International Conference on Machine Learning)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Playing Atari with Deep Reinforcement Learning (arXiv.org)
  9. Policy Gradient Methods for Reinforcement Learning with Function Approximation
  10. Long Short-Term Memory

Their papers