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Learning what to say and how precisely: Efficient Communication via Differentiable Discrete Communication Learning

arXiv — cs.LG•Tuesday, November 4, 2025 at 5:00:00 AM
PositiveArtificial Intelligence

Learning what to say and how precisely: Efficient Communication via Differentiable Discrete Communication Learning

A recent study on effective communication in multi-agent reinforcement learning (MARL) highlights the importance of optimizing message precision. Unlike previous methods that focused solely on whether to communicate, this research introduces a novel approach that enhances how precisely agents convey information, overcoming challenges posed by bandwidth limitations. This advancement is crucial as it can significantly improve the efficiency and effectiveness of communication in complex systems, paving the way for more sophisticated AI interactions.
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