Jakub Pawlewicz
Artificial Intelligence · 2013
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 5 citations into it
- Economics and Econometrics — 5 citations into it
Whom Jakub Pawlewicz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jakub Pawlewicz's perspective
Ordered by how strongly the researchers Jakub Pawlewicz trusts endorse each paper. Same corpus, a different order for every researcher.
- Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search
- Progressive Strategies for Monte-Carlo Tree Search
- COMPUTING “ELO RATINGS” OF MOVE PATTERNS IN THE GAME OF GO
- Combining online and offline knowledge in UCT
- Monte Carlo Tree Search in Hex
- Reinforcement Learning: An Introduction
- Exploration exploitation in Go: UCT for Monte-Carlo Go
- Bandit Based Monte-Carlo Planning
- Bayesian pattern ranking for move prediction in the game of Go
- A Formal Basis for the Heuristic Determination of Minimum Cost Paths
Their papers
- MoHex 2.0: A Pattern-Based MCTS Hex Player (2013) — 54 citations