Kocsis and Szepesvári: bandit-based Monte Carlo planning

What changed

Applied confidence-guided sampling to planning trees with stated consistency result.

Scientific scope

The record is the exact two-author 2006 ECML paper. It does not absorb Coulom’s separate Monte Carlo tree-search terminology, later UCT refinements, AlphaGo or every application of tree search.

Evidence

The linked sources identify this contribution and its scope. WRS has not independently reconstructed the scientific claims. The record is the exact two-author 2006 ECML paper. It does not absorb Coulom’s separate Monte Carlo tree-search terminology, later UCT refinements, AlphaGo or every application of tree search.

Contributors

• Levente Kocsis · SCIENCE: Named source author of the scoped work; individual effort shares are not measured.
• Csaba Szepesvári · SCIENCE: Named source author of the scoped work; individual effort shares are not measured.

• Publisher record for bandit-based Monte Carlo planning
• University-hosted UCT paper

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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