Generating-Traffic-Flows-with-MARL
PublicAccepted by AROB 2021. For letting agents in traffic simulation behave more like humans, we propose a unified mechanism for agents learn to decide various accelerations on deep reinforcement learning and generate a traffic flow behaving variously to simulate the real traffic flow.
a2c-algorithmdeep-reinforcement-learninggenerating-traffic-flowsmulti-agent-reinforcement-learningmulti-agent-systems
Creat:2020-11-15T20:58:14
Update:2024-08-22T22:08:05
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