Autonomous Vehicle Navigation in Highway with Deep Q-Network (DQN) using Reinforcement Learning Approach
Autonomous vehicles (AVs) operate in highly dynamic environments, making them essential in modern transportation systems. Their success depends on real-time decision-making in unpredictable traffic scenarios, which are often beyond the scope of initial design assumptions. This unpredictability limit...
| 發表在: | Proceedings of International Conference on Artificial Life and Robotics |
|---|---|
| 主要作者: | |
| 格式: | Conference paper |
| 語言: | English |
| 出版: |
ALife Robotics Corporation Ltd
2025
|
| 在線閱讀: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85219556138&partnerID=40&md5=afdd0bbd85a5b2ced5a2438a773e03e5 |