Ryan B. Hayward

Artificial Intelligence · 2010–2016

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Ryan B. Hayward trusts overall

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

  1. Rémi Coulom
  2. David Silver
  3. Sylvain Gelly
  4. Richard S. Sutton

Who trusts Ryan B. Hayward overall

  1. Thomas W. Anthony
  2. Maciej Swiechowski
  3. Zheng Tian

Papers from Ryan B. Hayward's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Human-level control through deep reinforcement learning
  3. Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search
  4. Mastering the game of Go with deep neural networks and tree search
  5. Bandit Based Monte-Carlo Planning
  6. COMPUTING “ELO RATINGS” OF MOVE PATTERNS IN THE GAME OF GO
  7. Progressive Strategies for Monte-Carlo Tree Search
  8. Theano: new features and speed improvements
  9. Gradient-based learning applied to document recognition
  10. ImageNet classification with deep convolutional neural networks

Their papers