基于符号世界模型的双层策略学习用于长时域规划

Dillon Z. Chen, Till Hofmann, Toryn Q. Klassen, Sheila A. McIlraith

2026

摘要

本文提出BISON系统，通过结合低级模仿学习与高级符号抽象，实现长时域规划。实验表明该方法在MetaWorld基准测试中能有效泛化到更长的规划周期和更复杂的问题。

bilevel policysymbolic world modellong-horizon planningimitation learningembodied AI

LEARNING

开放获取📊 1 引用

Keyi Shen, Glen Chou

2026

LEARNING

📊 0 引用

Xiwei Wu, Wei Wu, Qiqi Chen 等 9 位作者

Robotics and Computer-Integrated Manufacturing · 2026

LEARNING

📊 0 引用

Hedi Boukamcha, Anas Neumann, Monia Rekik 等 6 位作者

Robotics and Computer-Integrated Manufacturing · 2026

LEARNING

📊 0 引用

Jiaxin Liu, Xiaofeng Zhou, Suyang Yu 等 8 位作者

Robotics and Computer-Integrated Manufacturing · 2026