Decision-making Strategy on Highway for Autonomous Vehicles using Deep Reinforcement Learning
Decision-making Strategy on Highway for Autonomous Vehicles using Deep Reinforcement Learning 采用深度强化学习的自主车辆的决策支持策略 摘要：汽车自动驾驶技术是减少交通事故、提高驾驶效率的一种很有前途的技术。本研究以深度强化学习（DRL）为工具，针对自动驾驶车辆在高速公路上的超车行为，建立了一个基
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相关文章
- 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》翻译
- 4. Deep Reinforcement Learning for Dialogue Generation
- 5. Deep Reinforcement Learning for Join Order Enumeration
- 6. Deep Reinforcement Learning for List-wise Recommendations
- 7. Deep Reinforcement Learning
- 8. Toward Low-Flying Autonomous MAV Trail Navigation using Deep N_Networks for Environmental Awareness
- 9. (转) Deep Reinforcement Learning: Pong from Pixels
- 10. 【3D 目标检测】2019 CVPR Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles