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Research questionHow can cooperative MARL detect meaningful environment or task changes online without redundant alarms?Past experience can become unreliable when an environment or task objective changes during training. Agents must distinguish meaningful shifts in reward behavior from noise and avoid repeatedly reacting to the same change.
AI
Machine Learning
Multi-agent Systems
Reinforcement Learning
Statistical Machine Learning
Latest papersRecent research connected to this question, newest first.Online Change-point Detection for Cooperative Multi-Agent Reinforcement LearningThe evidence concerns reward-derived online detection in cooperative MARL, evaluated under two controlled non-stationarity scenarios in a custom Speaker-Listener environment based on the Multi-Agent Particle Environment. It shows a trade-off between detection speed and alarm stability within those settings.research paper · Sep 4, 2026
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