Target-Driven Visual Navigation by Using Causal Intervention

Target-driven visual navigation presents great po- tentials in scientific and industrial fields. It takes the target and environment observations as input. However, during training, we found that the agent sometimes got stuck in specific locations. Based on the analysis on visual information from a...

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Veröffentlicht in:	IEEE transactions on intelligent vehicles 2024-01, Vol.9 (1), p.1-10
Hauptverfasser:	Zhao, Xinzhou, Wang, Tian, Li, Yanjing, Zhang, Baochang, Liu, Kexin, Liu, Deyuan, Wang, Chuanyun, Snoussi, Hichem
Format:	Artikel
Sprache:	eng
Schlagworte:	causal attention causal interven- tion Computer Science Context modeling Correlation front-door adjustment generalization Navigation Object recognition Reinforcement learning Target-driven visual navigation Task analysis Training Visual effects Visualization
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