Jahn-Takeshi Saito

2008

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

Whom Jahn-Takeshi Saito trusts overall

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

  1. Rémi Coulom
  2. Levente Kocsis

Papers from Jahn-Takeshi Saito's perspective

Ordered by how strongly the researchers Jahn-Takeshi Saito trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search
  2. Bandit Based Monte-Carlo Planning
  3. Progressive Strategies for Monte-Carlo Tree Search
  4. Combining online and offline knowledge in UCT
  5. Reinforcement Learning: An Introduction
  6. COMPUTING “ELO RATINGS” OF MOVE PATTERNS IN THE GAME OF GO
  7. Exploration exploitation in Go: UCT for Monte-Carlo Go
  8. Asymptotically efficient adaptive allocation rules
  9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  10. Some aspects of the sequential design of experiments

Their papers