Zendai Kashino

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zendai Kashino trusts overall

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

  1. Brian Yamauchi
  2. Lei Tai
  3. Matthew J. Hausknecht

Papers from Zendai Kashino's perspective

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

  1. Human-level control through deep reinforcement learning
  2. Asynchronous Methods for Deep Reinforcement Learning
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Reinforcement learning in robotics: A survey
  8. Deep Recurrent Q-Learning for Partially Observable MDPs
  9. Going deeper with convolutions
  10. Long Short-Term Memory

Their papers