Kunihito Hoki

Artificial Intelligence · 2011–2014

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #19,411 of 35,345 by trust here, #30,347 by citations
• Reinforcement Learning — 13 citations into it; #2,064 of 2,242 by trust here, #2,160 by citations
• Economics and Econometrics — 10 citations into it; #13,372 of 23,481 by trust here, #21,405 by citations

Whom Kunihito Hoki trusts overall

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

1. Robert Tibshirani
2. Tomoyuki Kaneko
3. Jonathan Baxter
4. Joel Veness
5. David Silver
6. Rémi Coulom
7. Stephen W. Carden
8. Andrew Tridgell
9. Judea Pearl
10. Murray Campbell

Who trusts Kunihito Hoki overall

1. Matthew Lai
2. Tomoyuki Kaneko
3. David Silver
4. Thomas Hubert

Papers from Kunihito Hoki's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. An Introduction to Reinforcement Learning
3. Deep Blue
4. Reinforcement Learning: An Introduction
5. COMPUTING “ELO RATINGS” OF MOVE PATTERNS IN THE GAME OF GO
6. Analysis of Evaluation-Function Learning by Comparison of Sibling Nodes
7. Computer shogi
8. Adaptive Null-Move Pruning
9. Extended Futility Pruning
10. Bootstrapping from Game Tree Search

Their papers

• Analysis of Evaluation-Function Learning by Comparison of Sibling Nodes (2011) — 6 citations
• Large-Scale Optimization for Evaluation Functions with Minimax Search (2014) — 39 citations
• Efficiency of three forward-pruning techniques in shogi: Futility pruning, null-move pruning, and Late Move Reduction (LMR) (2012) — 18 citations