May Wu

2017

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

Whom May Wu trusts

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

  1. Miroslav Kubat (in Artificial Intelligence)

Papers from May Wu's perspective

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

  1. An Introduction to Machine Learning
  2. Human-level control through deep reinforcement learning
  3. Machine Learning Paradigms for Next-Generation Wireless Networks (IEEE wireless communications)
  4. LTE for vehicular networking: a survey (IEEE Communications Magazine)
  5. Some Studies in Machine Learning Using the Game of Checkers
  6. Deep Reinforcement Learning with Double Q-Learning
  7. Q-learning
  8. Reinforcement Learning: An Introduction
  9. Temporal credit assignment in reinforcement learning
  10. Artificial intelligence - a modern approach, 2nd Edition (Prentice Hall series in artificial intelligence)

Their papers