AINeutralarXiv – CS AI · 10h ago6/10
🧠
Sim2O: Efficient Offline-to-Online MARL via Joint Action Composition
Researchers introduce Sim2O, a new framework for offline-to-online multi-agent reinforcement learning (MARL) that combines offline and online action proposals through dynamic blending rather than monolithic joint decisions. The minimalist approach leverages centralized value functions to identify high-value coordination strategies without auxiliary training, demonstrating significant performance improvements over existing baselines.