Decision-making Strategy on Highway for Autonomous Vehicles using Deep Reinforcement Learning
Decision-making Strategy on Highway for Autonomous Vehicles using Deep Reinforcement Learning 採用深度強化學習的自主車輛的決策支持策略 摘要：汽車自動駕駛技術是減少交通事故、提高駕駛效率的一種很有前途的技術。本研究以深度強化學習（DRL）爲工具，針對自動駕駛車輛在高速公路上的超車行爲，建立了一個基
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相關文章
- 1. Language Understanding for TextGames using Deep Reinforcement
- 2. Building a ROS simulation platform for Deep Reinforcement Learning research ...
- 3. 《Virtual to Real Reinforcement Learning for Autonomous Driving》翻譯
- 4. Deep Reinforcement Learning for Dialogue Generation
- 5. Deep Reinforcement Learning for Join Order Enumeration
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- 8. Toward Low-Flying Autonomous MAV Trail Navigation using Deep N_Networks for Environmental Awareness
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- 10. 【3D 目標檢測】2019 CVPR Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles