Towards Generalization in Target-Driven Visual Navigation by Using Deep Reinforcement Learning

Among the main challenges in robotics, target-driven visual navigation has gained increasing interest in recent years. In this task, an agent has to navigate in an environment to reach a user specified target, only through vision. Recent fruitful approaches rely on deep reinforcement learning, which...

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Vydané v:	IEEE transactions on robotics Ročník 36; číslo 5; s. 1546 - 1561
Hlavní autori:	Devo, Alessandro, Mezzetti, Giacomo, Costante, Gabriele, Fravolini, Mario L., Valigi, Paolo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.10.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Computer simulation Deep learning Deep learning in robotics and automation Machine learning Navigation Robotics Simultaneous localization and mapping target-driven visual navigation Task analysis Training visual learning visual-based navigation Visualization
ISSN:	1552-3098, 1941-0468
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