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Libratus: blueprint strategy, nested subgames and self-improvement

Contribution grade

Imperfect-information game reasoning · Human-designed research method or resource

Reference score200,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Integrated an abstracted blueprint strategy, real-time nested safe subgame solving and targeted blueprint repair to defeat specialist professionals in heads-up no-limit Texas hold'em.

Scientific scope

Integrated an abstracted blueprint strategy, real-time nested safe subgame solving and targeted blueprint repair to defeat specialist professionals in heads-up no-limit Texas hold'em. Competition and online Science publication occurred2017; print issue2018 is recorded separately. Blueprint abstraction, approximate opponent values and finite solving accuracy constrain guarantees; a120000hand match is not proof of an exact full-game equilibrium. Self-improvement patches the system's own weaknesses, not simply fitting an opponent-exploitation model. DeepStack concurrent related work is credited without assigning exclusive priority.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Competition and online Science publication occurred2017; print issue2018 is recorded separately. Blueprint abstraction, approximate opponent values and finite solving accuracy constrain guarantees; a120000hand match is not proof of an exact full-game equilibrium. Self-improvement patches the system's own weaknesses, not simply fitting an opponent-exploitation model. DeepStack concurrent related work is credited without assigning exclusive priority.

Contributors

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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