A multi-agent reinforcement learning algorithm with pruning is proposed for migrating vehicular AI 'twins' between roadside units, but the equilibrium proof is flawed and experiments are not reproducible.
Artificial intelligence based object detection and traffic prediction by autonomous vehicles–a review,
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Bi-LSTM based Multi-Agent DRL with Computation-aware Pruning for Agent Twins Migration in Vehicular Embodied AI Networks
A multi-agent reinforcement learning algorithm with pruning is proposed for migrating vehicular AI 'twins' between roadside units, but the equilibrium proof is flawed and experiments are not reproducible.