CARLA-GymDrive: Autonomous driving episode generation for the Carla simulator in a gym environmentGitHub
CARLA-GymDrive is a powerful framework designed to facilitate reinforcement learning experiments in autonomous driving using the Carla simulator. By providing a gymnasium-like environment, it offers an intuitive and efficient platform for training driving agents using reinforcement learning techniqu...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
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| Series: | SoftwareX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S235271102400325X |
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| Summary: | CARLA-GymDrive is a powerful framework designed to facilitate reinforcement learning experiments in autonomous driving using the Carla simulator. By providing a gymnasium-like environment, it offers an intuitive and efficient platform for training driving agents using reinforcement learning techniques. It includes features such as scenario configuration to ensure that the training/test suite is adequate without requiring any code. Additionally, it boasts other features such as custom sensor configuration and compatibility with training libraries like Stable-Baselines3. This tool aims to increase researchers’ productivity by abstracting them from the complex code of the simulator, allowing them to focus on their research. |
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| ISSN: | 2352-7110 |