MADiff is an official NeurIPS 2024 implementation that applies diffusion models to offline multi-agent reinforcement learning, achieving strong results across MPE, MA-Mujoco, and SMAC benchmarks.
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MIT
2026-07-04
It introduces a diffusion-based approach for offline multi-agent learning, consistently outperforms many baselines (e.g., BC, OMAR, MA-CQL) on diverse cooperative tasks, and provides both CTDE and CTCE variants to analyze coordination gaps.
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