What is recorded here?
Combined continual re-solving, learned counterfactual value functions and depth/action-limited search for heads-up no-limit poker, demonstrating professional-player performance in the reported study.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Distinct from visual-token DeepStack. Source soundness theorem assumes bounded value-function error and adequate CFR iterations; the practical sparse action-tree restriction explicitly voids that theorem's guarantee. Thus professional-match results are empirical, not a certified exact Nash solution or zero exploitability. CFR and earlier re-solving are inherited.
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People and systems
Matej Moravčík; Martin Schmid; Neil Burch; Viliam Lisý; Dustin Morrill; Nolan Bard; Trevor Davis; Kevin Waugh; Michael Johanson; Michael Bowling
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
DeepStack: continual re-solving with learned counterfactual values
Combined continual re-solving, learned counterfactual value functions and depth/action-limited search for heads-up no-limit poker, demonstrating professional-player performance in the reported study.
Scientific scope
Distinct from visual-token DeepStack. Source soundness theorem assumes bounded value-function error and adequate CFR iterations; the practical sparse action-tree restriction explicitly voids that theorem's guarantee. Thus professional-match results are empirical, not a certified exact Nash solution or zero exploitability. CFR and earlier re-solving are inherited.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Matej Moravčík; Martin Schmid; Neil Burch; Viliam Lisý; Dustin Morrill; Nolan Bard; Trevor Davis; Kevin Waugh; Michael Johanson; Michael Bowling
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.