CommonRoad-RL: A Configurable Reinforcement Learning Environment for Motion Planning of Autonomous Vehicles
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9564393/9564395/09564898.pdf?arnumber=9564898
Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Target-Oriented Multi-Agent Coordination with Hierarchical Reinforcement Learning;Applied Sciences;2024-08-12
2. CommonRoad-CARLA Interface: Bridging the Gap between Motion Planning and 3D Simulation;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02
3. Simplifying Sim-to-Real Transfer in Autonomous Driving: Coupling Autoware with the CommonRoad Motion Planning Framework;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02
4. Motion Control of Autonomous Vehicle with Domain-Centralized Electronic and Electrical Architecture based on Predictive Reinforcement Learning Control Method;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02
5. A Reinforcement Learning-Boosted Motion Planning Framework: Comprehensive Generalization Performance in Autonomous Driving;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02
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