A single transformer model trained offline on expert trajectories from three distinct MARL environments achieves competitive performance against specialized baselines without per-task tuning.
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MARL-GPT: Foundation Model for Multi-Agent Reinforcement Learning
A single transformer model trained offline on expert trajectories from three distinct MARL environments achieves competitive performance against specialized baselines without per-task tuning.