Giving MARL agents supervised language targets for describing observations improves task performance, representation structure, and robustness to new teammates compared to emergent communication baselines.
In:Advances in Neural Information Process- ing Systems
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Towards Language-Augmented Multi-Agent Deep Reinforcement Learning
Giving MARL agents supervised language targets for describing observations improves task performance, representation structure, and robustness to new teammates compared to emergent communication baselines.