Curriculum Learning

Deep Reinforcement Learning for Autonomous Navigation in Intralogistics
Even with several advances in autonomous mobile robots, navigation in a highly dynamic environment still remains a challenge …
Harsh Yadav, Honghu Xue, Yan Rudall, Mohamed Bakr, Benedikt Hein, Elmar Rueckert, Ngoc Thinh Nguyen
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Deep Reinforcement Learning for Autonomous Navigation in Intralogistics
End-To-End Deep Reinforcement Learning for First-Person Pedestrian Visual Navigation in Urban Environments
We solve a pedestrian visual navigation problem with a first-person view in an urban setting via deep reinforcement learning in an end-to-end manner …
Honghu Xue, Rui Song, Julian Petzold, Benedikt Hein, Heiko Hamann, Elmar Rueckert
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End-To-End Deep Reinforcement Learning for First-Person Pedestrian Visual Navigation in Urban Environments
Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics
We propose a deep reinforcement learning approach for solving a mapless navigation problem in warehouse scenarios. In our approach, an automatic guided vehicle is equipped with two LiDAR sensors and one frontal RGB camera and learns to perform a targeted navigation task …
Honghu Xue, Benedikt Hein, Mohamed Bakr, Georg Schildbach, Bengt Abel, Elmar Rueckert
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Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics