Toward personalized decision making for autonomous vehicles: a constrained multi-objective reinforcement learning technique
Reinforcement learning promises to provide a state-of-the-art solution to the decision making problem of autonomous driving. Nonetheless, numerous real-world decision making problems involve balancing multiple conflicting or competing objectives. In addition, passengers may typically prefer to explo...
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Main Authors: | He, Xiangkun, Lv, Chen |
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其他作者: | School of Mechanical and Aerospace Engineering |
格式: | Article |
語言: | English |
出版: |
2023
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在線閱讀: | https://hdl.handle.net/10356/171196 |
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