A coalitional game model for MEC co-investment that incorporates resource updates and dynamic player participation to increase total payoffs and strengthen investment incentives.
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Multi-agent DRL framework shows dynamic incentives and pricing can cut commuter costs ~20%, emissions ~10%, and double public transport profit in simulated morning peak scenarios.
citing papers explorer
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Co-Investment in Mobile Edge Computing with Infrastructure Update and Dynamic Participation
A coalitional game model for MEC co-investment that incorporates resource updates and dynamic player participation to increase total payoffs and strengthen investment incentives.
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Dynamic multi-agent deep reinforcement learning-based pricing and incentivization approach in multimodal transportation networks
Multi-agent DRL framework shows dynamic incentives and pricing can cut commuter costs ~20%, emissions ~10%, and double public transport profit in simulated morning peak scenarios.