Models JCACO in MEC-AIGC networks as a potential game and introduces a MASL algorithm that converges to Nash equilibrium, reducing completion time in simulations.
Caching-Assisted Collaborative Task Offloading for Vehicular Edge Computing: A Deep Reinforce- ment Learning-Based Approach,
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Joint Communication and Computation Scheduling for MEC-enabled AIGC Services: A Game-Theoretic Stochastic Learning Approach
Models JCACO in MEC-AIGC networks as a potential game and introduces a MASL algorithm that converges to Nash equilibrium, reducing completion time in simulations.