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Sample-Efficient Multimodal Dynamics Modeling for Risk-Sensitive Reinforcement Learning
被引:0
|
作者
:
Yashima, Ryota
论文数:
0
引用数:
0
h-index:
0
机构:
Tohoku University, Graduate School of Information Sciences, Miyagi, Japan
Tohoku University, Graduate School of Information Sciences, Miyagi, Japan
Yashima, Ryota
[
1
]
Yamaguchi, Akihiko
论文数:
0
引用数:
0
h-index:
0
机构:
Tohoku University, Graduate School of Information Sciences, Miyagi, Japan
Tohoku University, Graduate School of Information Sciences, Miyagi, Japan
Yamaguchi, Akihiko
[
1
]
Hashimoto, Koichi
论文数:
0
引用数:
0
h-index:
0
机构:
Tohoku University, Graduate School of Information Sciences, Miyagi, Japan
Tohoku University, Graduate School of Information Sciences, Miyagi, Japan
Hashimoto, Koichi
[
1
]
机构
:
[1]
Tohoku University, Graduate School of Information Sciences, Miyagi, Japan
来源
:
2022 8th International Conference on Mechatronics and Robotics Engineering, ICMRE 2022
|
2022年
关键词
:
Compendex;
D O I
:
8th International Conference on Mechatronics and Robotics Engineering, ICMRE 2022
中图分类号
:
学科分类号
:
摘要
:
Stochastic models
引用
收藏
页码:21 / 27
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