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Parthavi Gaikwad

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#reinforcement learning Open access Oct 2026

PANES: Policy-guided Asymmetric Nash Equilibrium Search

Trick-taking card games with mandatory bidding confront reinforcement learning agents with a distinctive two-phase problem: each player must commit to a numeric bid before any cards are played, and whether that bid turns out to be correct hinges on adversarial interactions unfolding over many subsequent tricks. Judgeme...

Youhan Lalwani, Mahesh Patel, Parthavi Gaikwad et al. · 0 citations

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