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题名: Autonomic Learning Framework Based on Behavior Policy
作者: Li DC(李德才); He YQ(何玉庆)
作者部门: 机器人学研究室
会议名称: 5th International Conference on Cognitive Neurodynamics (ICCN 2015)
会议日期: June 3-7, 2015
会议地点: Sanya, China
会议录: Advances in Cognitive Neurodynamics (V) : Proceedings of the Fifth International Conference on Cognitive Neurodynamics
会议录出版者: Springer Verlag
会议录出版地: Berlin
出版日期: 2015
页码: 501-509
ISSN号: 2213-3569
ISBN号: 978-981-10-0205-2
关键词: Complex natural environment ; Autonomous learning framework ; Behavior policy ; Inverse reinforcement learning
摘要: In this paper, a novel autonomous learning framework is proposed. Different form the traditional learning framework, which maps environment to the action space directly, the new method abstracts behavior policies from the demonstrations and expresses it with a parameterized model. Based on the parameterized policies, cost function and environment constraints are generated, which together with the dynamic constraints of the robot are used to optimize the decision actions. A simulation on the grid world proved the effectiveness of the proposed method.
语种: 英语
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/19243
Appears in Collections:机器人学研究室_会议论文

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Recommended Citation:
Li DC,He YQ. Autonomic Learning Framework Based on Behavior Policy[C]. 见:5th International Conference on Cognitive Neurodynamics (ICCN 2015). Sanya, China. June 3-7, 2015.
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文件名: Autonomic Learning Framework Based on Behavior Policy.pdf
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