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Multi-agent Reinforcement Learning for Coordinated Emergency Building Sweeps

We develop a Multi-Agent Deep Deterministic Policy Gradient (MADDPG) framework for coordinating emergency responders during building sweeps. The problem is formulated as a Decentralized Partially Observable Markov Decision Process (Dec-POMDP) that captures building topology, occupant vulnerability, dynamic hazards, and...

Lechen Ding, 张云生, Jiamei Du et al. · 0 citations

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