Abstract: For long-horizon multi-task robotic manipulation, hierarchical approaches provide an effective way to combine high-level language-based task planning with low-level vision-language based sub ...
Yongjie Bai, Zhouxia Wang, Yang Liu, Kaijun Luo, Yifan Wen, Mingtong Dai, Weixing Chen, Ziliang Chen, Lingbo Liu, Guanbin Li, Liang Lin TVVE learns to actively explore task-relevant virtual viewpoints ...
Abstract: Robotic learning from sparse rewards can be a considerable challenge due to large amounts of data required for mastering a task. We explore the application of curriculum learning (CL) ...
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