Don Joven Agravante

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 Don Joven Agravante trusts overall

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

  1. John Schulman
  2. Diederik P. Kingma

Papers from Don Joven Agravante's perspective

Ordered by how strongly the researchers Don Joven Agravante 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. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Human-level control through deep reinforcement learning
  6. Trust Region Policy Optimization (International Conference on Machine Learning)
  7. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers