RouteRL
PublicRouteRL is a multi-agent reinforcement learning framework for modeling and simulating the collective route choices of humans and autonomous vehicles.
autonomous-vehiclescavsmulti-agent-reinforcement-learningreinforcement-learningroute-choicesumotorchrltraffic-assignmenttraffic-simulationtransportation
Creat:2024-01-18T18:47:24
Update:2025-03-20T15:02:41
https://coexistence-project.github.io/RouteRL/
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