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Teaching AI Agent to Play Poker Strategically Through Preference Optimization

arXiv cs.AI ↗ · 2026-10-21 Cached

This paper proposes SPOKE, a strategic preference optimization method with KL-anchored equilibrium, to teach compact LLM-based agents (SmallThinker-4B) to play poker more strategically under hidden information, achieving lower exploitability than SFT, DPO, GRPO, and GSPO in Kuhn and Leduc poker.

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