SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning

被引：0
|
作者：
Lyu, Daoming [1 ]
Yang, Fangkai [2 ]
Liu, Bo [1 ]
Gustafson, Steven [3 ]
机构：
[1] Auburn Univ, Auburn, AL 36849 USA
[2] NVIDIA Corp, Redmond, WA USA
[3] Maana Inc, Bellevue, WA USA
来源：
ELECTRONIC PROCEEDINGS IN THEORETICAL COMPUTER SCIENCE | 2019年 / 306期
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
引用
收藏
页码：354 / 354
页数：1
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