Unverified50% confidenceFactExact time
In MARL, each agent is typically treated as a node and observable interaction relationships as edges, with a GNN aggregating neighbor information at each time step to generate policy inputs for each agent.
1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
The Challenge of Interaction-Mediated Nonstationarity in Multi-Agent Reinforcement Learning
redditr/deeplearning10/18/2026
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