What is recorded here?
Combined regularized payoff-learning dynamics with model-free deep self-play, fine-tuning and test-time policy filtering to reach expert-level Stratego Classic performance without game-tree search or human demonstrations.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Idealized regularized-dynamics convergence and a practical deep agent's finite online ranking are different evidence. Function approximation, fine-tuning and post-processing do not constitute a WRS-certified full-game equilibrium or strong solution. Ranking concerns the reported2022Gravon sample, not an enduring all-platform world rank. Source convergence arguments inherit earlier regularization work.
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People and systems
Julien Perolat; Bart de Vylder; Daniel Hennes; Eugene Tarassov; Florian Strub; Vincent de Boer; Paul Muller; Jerome T. Connor; Neil Burch; Thomas Anthony; Stephen McAleer; Romuald Elie; Sarah H. Cen; Zhe Wang; Audrunas Gruslys; Aleksandra Malysheva; Mina Khan; Sherjil Ozair; Finbarr Timbers; Toby Pohlen; Tom Eccles; Mark Rowland; Marc Lanctot; Jean-Baptiste Lespiau; Bilal Piot; Shayegan Omidshafiei; Edward Lockhart; Laurent Sifre; Nathalie Beauguerlange; Remi Munos; David Silver; Satinder Singh; Demis Hassabis; Karl Tuyls
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.
Research locations and affiliations
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English catalogue narrative
DeepNash: regularized Nash dynamics for Stratego
Combined regularized payoff-learning dynamics with model-free deep self-play, fine-tuning and test-time policy filtering to reach expert-level Stratego Classic performance without game-tree search or human demonstrations.
Scientific scope
Idealized regularized-dynamics convergence and a practical deep agent's finite online ranking are different evidence. Function approximation, fine-tuning and post-processing do not constitute a WRS-certified full-game equilibrium or strong solution. Ranking concerns the reported2022Gravon sample, not an enduring all-platform world rank. Source convergence arguments inherit earlier regularization work.
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
Julien Perolat; Bart de Vylder; Daniel Hennes; Eugene Tarassov; Florian Strub; Vincent de Boer; Paul Muller; Jerome T. Connor; Neil Burch; Thomas Anthony; Stephen McAleer; Romuald Elie; Sarah H. Cen; Zhe Wang; Audrunas Gruslys; Aleksandra Malysheva; Mina Khan; Sherjil Ozair; Finbarr Timbers; Toby Pohlen; Tom Eccles; Mark Rowland; Marc Lanctot; Jean-Baptiste Lespiau; Bilal Piot; Shayegan Omidshafiei; Edward Lockhart; Laurent Sifre; Nathalie Beauguerlange; Remi Munos; David Silver; Satinder Singh; Demis Hassabis; Karl Tuyls
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.