Jing Wang

Artificial Intelligence · with Boutilier · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jing Wang trusts

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

  1. Thorsten Joachims (in Artificial Intelligence)
  2. Wiebke Kuklys (in Economics and Econometrics)

Papers from Jing Wang's perspective

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

  1. Human-level control through deep reinforcement learning
  2. The Arcade Learning Environment: An Evaluation Platform for General Agents
  3. Mastering the game of Go with deep neural networks and tree search
  4. TensorFlow: A system for large-scale machine learning
  5. ImageNet classification with deep convolutional neural networks
  6. Q-learning
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. A Neural Conversational Model
  9. Attention is All you Need (Neural Information Processing Systems)
  10. An Empirical Evaluation of Thompson Sampling

Their papers