Decision Making under Imperfect Recall: Algorithms and Benchmarks | ScienceToStartup | ScienceToStartup

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References (74)

[1]

Convergence of Regret Matching in Potential Games and Constrained Optimization

2025I. Anagnostides, Emanuel Tewolde et al.

[2]

AI Testing Should Account for Sophisticated Strategic Behaviour

2025Vojtěch Kovařík, Eric Olav Chen et al.

[3]

Simplifying imperfect recall games

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"New benchmark suite and algorithms for optimizing imperfect-recall decision problems, outperforming traditional approaches in efficiency."

Optimization Algorithms•Score: 7•View PDF ↗

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Decision Making under Imperfect Recall: Algorithms and Benchmarks

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References (74)

Founder's Pitch

"New benchmark suite and algorithms for optimizing imperfect-recall decision problems, outperforming traditional approaches in efficiency."

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Decision Making under Imperfect Recall: Algorithms and Benchmarks

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References (74)

Founder's Pitch

"New benchmark suite and algorithms for optimizing imperfect-recall decision problems, outperforming traditional approaches in efficiency."

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