Subhajit Chaudhury

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Subhajit Chaudhury trusts overall

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

  1. John Schulman
  2. Diederik P. Kingma

Papers from Subhajit Chaudhury's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. GENERATIVE ADVERSARIAL NETS
  3. Human-level control through deep reinforcement learning
  4. Trust Region Policy Optimization (International Conference on Machine Learning)
  5. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  6. Proximal Policy Optimization Algorithms (arXiv.org)
  7. ImageNet classification with deep convolutional neural networks
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Mastering the game of Go with deep neural networks and tree search
  10. Gradient-based learning applied to document recognition

Their papers