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Computational-Statistical Gap in Reinforcement Learning
被引:0
作者
:
Kane, Daniel
论文数:
0
引用数:
0
h-index:
0
机构:
University of California, San Diego, United States
University of California, San Diego, United States
Kane, Daniel
[
1
]
Liu, Sihan
论文数:
0
引用数:
0
h-index:
0
机构:
University of California, San Diego, United States
University of California, San Diego, United States
Liu, Sihan
[
1
]
Lovett, Shachar
论文数:
0
引用数:
0
h-index:
0
机构:
University of California, San Diego, United States
University of California, San Diego, United States
Lovett, Shachar
[
1
]
Mahajan, Gaurav
论文数:
0
引用数:
0
h-index:
0
机构:
University of California, San Diego, United States
University of California, San Diego, United States
Mahajan, Gaurav
[
1
]
机构
:
[1]
University of California, San Diego, United States
来源
:
Proceedings of Machine Learning Research
|
2022年
/ 178卷
关键词
:
Compendex;
D O I
:
暂无
中图分类号
:
学科分类号
:
摘要
:
Approximation algorithms - Computational efficiency - Information theory - Optimal systems - Polynomial approximation
引用
收藏
页码:1282 / 1302
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