End-To-End Deep Reinforcement Learning for First-Person Pedestrian Visual Navigation in Urban Environments-Reference-Cited by-同舟云学术

End-To-End Deep Reinforcement Learning for First-Person Pedestrian Visual Navigation in Urban Environments

Published:2022-11-28 Issue: Volume: Page:
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Container-title:2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids)
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Author:

Xue Honghu¹,Song Rui¹,Petzold Julian²,Hein Benedikt³,Hamann Heiko²,Rueckert Elmar⁴

Affiliation:

1. Institute for Robotics and Cognitive Systems, University of Luebeck,Luebeck

2. Institute of Computer Engineering, University of Luebeck,Luebeck

3. Institute of Automation Technology, Helmut Schmidt University,Ham-burg

4. Chair of Cyber-Physical-Systems, Montanuniversität Leoben,Leoben

Publisher

IEEE

Link

Reference32 articles.

1. Vision-based navigation using deep reinforcement learning;kulhanek;2019 European Conference on Mobile Robots (ECMR),2019

5. Prioritized experience replay;schaul;International Conference on Learning Representations,0

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