Mark H. M. Winands

Artificial Intelligence · 2008–2016

A researcher in the Science corpus: 6 papers; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Mark H. M. Winands trusts overall

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

  1. Rémi Coulom
  2. Levente Kocsis
  3. Csaba Szepesvari
  4. Guillaume M
  5. Sylvain Gelly
  6. J-B Chaslot
  7. David Silver
  8. Martin A. Zinkevich

Who trusts Mark H. M. Winands overall

  1. Marwin H. S. Segler
  2. Cameron Browne
  3. Christopher D. Rosin
  4. James Goodman
  5. Yuandong Tian
  6. Rémi Coulom
  7. Broderick Arneson

Papers from Mark H. M. Winands's perspective

Ordered by how strongly the researchers Mark H. M. Winands trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Bandit Based Monte-Carlo Planning
  2. Human-level control through deep reinforcement learning
  3. COMPUTING “ELO RATINGS” OF MOVE PATTERNS IN THE GAME OF GO
  4. Reinforcement Learning: An Introduction
  5. Progressive Strategies for Monte-Carlo Tree Search
  6. Exploration exploitation in Go: UCT for Monte-Carlo Go
  7. The Nonstochastic Multiarmed Bandit Problem
  8. Online Convex Programming and Generalized Infinitesimal Gradient Ascent
  9. Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search
  10. ImageNet classification with deep convolutional neural networks

Their papers