Titlebook: Knowledge Science, Engineering and Management; 13th International C Gang Li,Heng Tao Shen,Xiang Zhao Conference proceedings 2020 Springer N

Lacunar-Stroke

Wencong Wang,Lan Huang,Hao Liu,Jia Zeng,Shiqi Sun,Kainuo Li,Kangping Wang

BRAND

Gong Xudong,Jia Hongda,Zhou Xing,Feng Dawei,Ding Bo,Xu Jie

Mirage

Shaokang Zhang,Huailiang Peng,Yanan Cao,Lei Jiang,Qiong Dai,Jianlong Tan

有惡意

Cheng He,Chao Peng,Na Li,Xiang Chen,Zhengfeng Yang,Zhenhao Hu

名字

ENACT

Mere僅僅

0302-9743 zed in the following topical sections: machine learning; recommendation algorithms and systems; social knowledge analysis and management; text mining and document analysis; and deep learning..*The conference was held virtually due to the COVID-19 pandemic..978-3-030-55392-0978-3-030-55393-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

LAY

MA-TREX: Mutli-agent Trajectory-Ranked Reward Extrapolation via Inverse Reinforcement Learnings adopted in the iteration process, by which the self-generated data required subsequently is only one third of the initial demonstrations. Experimental results on several multi-agent collaborative tasks demonstrate that the MA-TREX can effectively surpass the demonstrators and obtain the same level reward as the ground truth quickly and stably.

Cleave

An Incremental Learning Network Model Based on Random Sample Distribution Fittingial samples were mixed with new real data as training data. The experiments with proper parameters show that new features from new real data can be learned as well as the old features are not forgot catastrophically.

FANG