Alberto Uriarte

Artificial Intelligence · 2013–2014

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #32,999 of 35,345 by trust here, #13,760 by citations
• Sociology and Political Science — 6 citations into it; #19,858 of 22,756 by trust here, #6,224 by citations

Whom Alberto Uriarte trusts overall

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

1. David Churchill
2. Abdallah Saffidine
3. Michael Buro

Who trusts Alberto Uriarte overall

1. Gabriel Synnaeve
2. David Churchill

Papers from Alberto Uriarte's perspective

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

1. Fast Heuristic Search for RTS Game Combat Scenarios
2. Finite-time Analysis of the Multiarmed Bandit Problem
3. Learning to Win: Case-Based Plan Selection in a Real-Time Strategy Game
4. A Survey of Real-Time Strategy Game AI Research and Competition in StarCraft
5. TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play
6. Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search
7. Mastering the game of Go with deep neural networks and tree search
8. Bandit Based Monte-Carlo Planning
9. A Bayesian model for opening prediction in RTS games with application to StarCraft
10. Learning Options in Reinforcement Learning

Their papers

• A Survey of Real-Time Strategy Game AI Research and Competition in StarCraft (2013) — 463 citations
• Game-Tree Search over High-Level Game States in RTS Games (2014) — 44 citations