B. Sawicki

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Reinforcement Learning — 14 citations into it
• Economics and Econometrics — 13 citations into it
• Sociology and Political Science — 10 citations into it
• Game & Decision Theory — 6 citations into it

Whom B. Sawicki trusts overall

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

1. Rémi Coulom
2. David Silver
3. Sylvain Gelly
4. Levente Kocsis
5. Richard S. Sutton
6. Daniel J. Lizotte
7. Hilmar Finnsson

Papers from B. Sawicki's perspective

Ordered by how strongly the researchers B. Sawicki 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. Mastering the game of Go with deep neural networks and tree search
4. Mastering the game of Go without human knowledge
5. COMPUTING “ELO RATINGS” OF MOVE PATTERNS IN THE GAME OF GO
6. ON THE LIKELIHOOD THAT ONE UNKNOWN PROBABILITY EXCEEDS ANOTHER IN VIEW OF THE EVIDENCE OF TWO SAMPLES
7. Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning
8. Monte-Carlo tree search and rapid action value estimation in computer Go
9. A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
10. TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play

Their papers

• Monte Carlo Tree Search: a review of recent modifications and applications (2021) — 441 citations