AI RESEARCH
PTCG-Bench: Can LLM Agents Master Pok\'emon Trading Card Game?
arXiv CS.AI
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ArXi:2605.29653v1 Announce Type: new Given a strategically complex board game, human players can quickly learn to devise strategies after playing a few rounds. Autonomous agents require similar capabilities in realistic interactive environments, yet existing agent benchmarks often fail to fully capture such strategic and evolving decision-making scenarios.