A collaborative MAPPO control method using compressed LiDAR feature sharing reduces simulated collision rates in occluded intersections compared to independent RL and early fusion baselines.
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An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios
A collaborative MAPPO control method using compressed LiDAR feature sharing reduces simulated collision rates in occluded intersections compared to independent RL and early fusion baselines.