Efficient and scalable reinforcement learning for large-scale network control
Chengdong Ma, Aming Li, Yali Du, Hao Dong, Yaodong Yang · Nature Machine Intelligence · 2024
Applying large-scale AI systems to multi-agent scenarios in real-world settings is challenging. The authors propose a decentralized model-based policy optimization framework to enable scalable decision-making.