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  • Rank 2,282,744 (Top 46 %)
  • Language GAML
  • Created almost 4 years ago
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Repository Details

Accepted 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.