A pruned multi-agent PPO algorithm with exploration incentives is designed to approximate the Stackelberg equilibrium of a vehicular AI twin migration game.
Generative diffusion-based contract design for efficient ai twin migration in vehicular embodied ai networks,
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TinyMA-IEI-PPO: Exploration Incentive-Driven Multi-Agent DRL with Self-Adaptive Pruning for Vehicular Embodied AI Agent Twins Migration
A pruned multi-agent PPO algorithm with exploration incentives is designed to approximate the Stackelberg equilibrium of a vehicular AI twin migration game.