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Graph-Conditioned Diffusion for Offline Multi-Agent Reinforcement Learning for AAMAS 2026

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Graph Conditioned Diffusion for Offline Multi-Agent Reinforcement Learning

Paper Link: Graph Conditioned Diffusion for Offline Multi-Agent Reinforcement Learning

In this directory, we provide the three necessary codebases for reproducing the results of the experiments discussed in our paper.

  • gcd: Contains the source code for running our method GCD and the MADiff baseline.
  • HiSSD: Contains the source code for running the HiSSD and ODIS baselines.
  • Offline_MARL: Contains the source code for running the standard offline MARL baselines in our paper including MA-CQL, MA-ICQ, MA-IQL, and OMAR.

Please refer to the documentation in each of these codebases for installing and running. Typically, this will require different environments and dependencies per codebase. Note: The GCD directory contains our method.

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