Autonomous Vehicle Navigation in Highway with Deep Q-Network (DQN) using Reinforcement Learning Approach

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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...

書誌詳細
出版年:	Proceedings of International Conference on Artificial Life and Robotics
第一著者:	2-s2.0-85219556138
フォーマット:	Conference paper
言語:	English
出版事項:	ALife Robotics Corporation Ltd 2025
オンライン･アクセス:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85219556138&partnerID=40&md5=afdd0bbd85a5b2ced5a2438a773e03e5

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