Yngvi Björnsson

Reinforcement Learning · 2007–2008

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Yngvi Björnsson trusts overall

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

  1. Rémi Coulom
  2. Levente Kocsis
  3. Sylvain Gelly
  4. Bikramjit Banerjee
  5. Csaba Szepesvari
  6. Peter Auer
  7. David Silver
  8. Barney Pell
  9. Peter Stone
  10. Guillaume M

Who trusts Yngvi Björnsson overall

  1. Christopher D. Rosin
  2. Nathan R Sturtevant
  3. David Silver
  4. Owen Macindoe
  5. Raghuram Ramanujan
  6. Maciej Swiechowski
  7. Viliam Lisý
  8. Ashish Sabharwal
  9. Cameron Browne
  10. Joel Veness

Papers from Yngvi Björnsson's perspective

Ordered by how strongly the researchers Yngvi Björnsson 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. Finite-time Analysis of the Multiarmed Bandit Problem
  4. Reinforcement Learning: An Introduction
  5. Progressive Strategies for Monte-Carlo Tree Search
  6. General Game Playing: Overview of the AAAI Competition
  7. Combining online and offline knowledge in UCT
  8. General Game Learning Using Knowledge Transfer
  9. ImageNet classification with deep convolutional neural networks
  10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers