Resolving the Classic Resource Allocation Conflict in On-Ramp Merging: A Regionally Coordinated Nash-Advantage Decomposition Deep Q-Network Approach for Connected and Automated Vehicles
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DOI: 10.3390/su17177826
Abstract: To improve the traffic efficiency of connected and automated vehicles (CAVs) in on-ramp merging areas, this study proposes a novel region-level multi-agent reinforcement learning framework, Regionally Coordinated Nash-Advantage Decomposition Deep Q-Network with Conflict-Aware Q Fusion… read more here.
Keywords: advantage; connected automated; advantage decomposition; automated vehicles ... See more keywords