Tactical Decision-Making for Autonomous Driving Using Dueling Double Deep Q Network With Double Attention
Decision-making is still a significant challenge to realize fully autonomous driving. Using deep reinforcement learning (DRL) to solve autonomous driving decision-making problems is a recent trend. A common method is to encode surrounding vehicles in a grid to describe the state space to help DRL ne...
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| Autores principales: | , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
IEEE
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/f187f625b58e4ec29438dc584887e503 |
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