强化学习
机器人学
人工智能
一边
计算机科学
领域(数学)
过程(计算)
领域(数学分析)
机器学习
机器人
人机交互
数学
文学类
数学分析
艺术
操作系统
纯数学
作者
Julian Eßer,Nicolas Bach,Christian Jestel,Oliver Urbann,Sören Kerner
出处
期刊:IEEE Robotics & Automation Magazine
[Institute of Electrical and Electronics Engineers]
日期:2022-11-03
卷期号:30 (2): 67-85
被引量:13
标识
DOI:10.1109/mra.2022.3207664
摘要
Recent successes aside, reinforcement learning (RL) still faces significant challenges in its application to the real-world robotics domain. Guiding the learning process with additional knowledge offers a potential solution, thus leveraging the strengths of data- and knowledge-driven approaches. However, this field of research encompasses several disciplines and hence would benefit from a structured overview.
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