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arXiv · 2410.13769

Transformer Guided Coevolution: Improved Team Selection in Multiagent Adversarial Team Games

Pranav Rajbhandari·Prithviraj Dasgupta·Donald Sofge
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Abstract

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.

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Pranav Rajbhandari, Prithviraj Dasgupta, Donald Sofge. 2024-10-17. Transformer Guided Coevolution: Improved Team Selection in Multiagent Adversarial Team Games. https://arxiv.org/abs/2410.13769

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