A Bridge between Polynomial Optimization and Games with Imperfect Recall
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Abstract (arXiv)
We provide several positive and negative complexity results for solving games with imperfect recall. Using a one-to-one correspondence between these games on one side and multivariate polynomials on the other side, we show that solving games with imperfect recall is as hard as solving certain problems of the first order theory of reals. We establish square root sum hardness even for the specific class of A-loss games. On the positive side, we find restrictions on games and strategies motivated by Bridge bidding that give polynomial-time complexity.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Feb 2020.
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Citing papers per year: 2023: 1; 2024: 1; 2025: 1; 2026: 1.
4 papers.
- 2023The Computational Complexity of Single-Player Imperfect-Recall Gamescited by 5
- 2024Imperfect-Recall Games: Equilibrium Concepts and Their Complexitycited by 4
- 2025Convergence of Regret Matching in Potential Games and Constrained Optimizationcited by 2
- 2026Decision Making under Imperfect Recall: Algorithms and Benchmarkscited by 0
- 2026Decision Making under Imperfect Recall: Algorithms and Benchmarks16 Feb 2026
- 2025Convergence of Regret Matching in Potential Games and Constrained Optimization20 Oct 2025
- 2024Imperfect-Recall Games: Equilibrium Concepts and Their Complexity23 Jun 2024
- 2023The Computational Complexity of Single-Player Imperfect-Recall Games28 May 2023