Transformer Guided Coevolution: Improved Team Selection in Multiagent Adversarial Team Games
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866917906374197248 |
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| author | Rajbhandari, Pranav Dasgupta, Prithviraj Sofge, Donald |
| author_facet | Rajbhandari, Pranav Dasgupta, Prithviraj Sofge, Donald |
| contents | We consider the problem of team selection within multiagent adversarial team games. We propose BERTeam, a novel algorithm that uses a transformer-based deep neural network with Masked Language Model training to select the best team of players from a trained population. We integrate this with coevolutionary deep reinforcement learning, which trains a diverse set of individual players to choose from. We test our algorithm in the multiagent adversarial game Marine Capture-The-Flag, and find that BERTeam learns non-trivial team compositions that perform well against unseen opponents. For this game, we find that BERTeam outperforms MCAA, an algorithm that similarly optimizes team selection. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_13769 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Transformer Guided Coevolution: Improved Team Selection in Multiagent Adversarial Team Games Rajbhandari, Pranav Dasgupta, Prithviraj Sofge, Donald Artificial Intelligence Multiagent Systems Neural and Evolutionary Computing We consider the problem of team selection within multiagent adversarial team games. We propose BERTeam, a novel algorithm that uses a transformer-based deep neural network with Masked Language Model training to select the best team of players from a trained population. We integrate this with coevolutionary deep reinforcement learning, which trains a diverse set of individual players to choose from. We test our algorithm in the multiagent adversarial game Marine Capture-The-Flag, and find that BERTeam learns non-trivial team compositions that perform well against unseen opponents. For this game, we find that BERTeam outperforms MCAA, an algorithm that similarly optimizes team selection. |
| title | Transformer Guided Coevolution: Improved Team Selection in Multiagent Adversarial Team Games |
| topic | Artificial Intelligence Multiagent Systems Neural and Evolutionary Computing |
| url | https://arxiv.org/abs/2410.13769 |