Personalized Help for Optimizing Low-Skilled Users' Strategy

November 14, 2024 ยท Declared Dead ยท + Add venue

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Authors Feng Gu, Wichayaporn Wongkamjan, Jonathan K. Kummerfeld, Denis Peskoff, Jonathan May, Jordan Boyd-Graber arXiv ID 2411.09109 Category cs.CL: Computation & Language Citations 2 Last Checked 5 months ago
Abstract
AIs can beat humans in game environments; however, how helpful those agents are to human remains understudied. We augment CICERO, a natural language agent that demonstrates superhuman performance in Diplomacy, to generate both move and message advice based on player intentions. A dozen Diplomacy games with novice and experienced players, with varying advice settings, show that some of the generated advice is beneficial. It helps novices compete with experienced players and in some instances even surpass them. The mere presence of advice can be advantageous, even if players do not follow it.
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