Personalized Help for Optimizing Low-Skilled Users' Strategy
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arXiv
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| Format: | Preprint |
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2024
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| author | Gu, Feng Wongkamjan, Wichayaporn Kummerfeld, Jonathan K. Peskoff, Denis May, Jonathan Boyd-Graber, Jordan |
| author_facet | Gu, Feng Wongkamjan, Wichayaporn Kummerfeld, Jonathan K. Peskoff, Denis May, Jonathan Boyd-Graber, Jordan |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_09109 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Personalized Help for Optimizing Low-Skilled Users' Strategy Gu, Feng Wongkamjan, Wichayaporn Kummerfeld, Jonathan K. Peskoff, Denis May, Jonathan Boyd-Graber, Jordan Computation and Language 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. |
| title | Personalized Help for Optimizing Low-Skilled Users' Strategy |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2411.09109 |