Transferring Task Goals via Hierarchical Reinforcement Learning

Saining Xie, Alexandre Galashov, Siqi Liu, Shaobo Hou, Razvan Pascanu, Nicolas Heess, Yee Whye Teh

Feb 12, 2018 (modified: Jun 04, 2018) ICLR 2018 Workshop Submission readers: everyone Show Bibtex
  • Abstract: In this paper we demonstrate how hierarchical reinforcement learning architectures with guiding rewards can be used to separate high-level task understanding from low-level task execution and to exploit this separation of concerns for transferring high-level task goals e.g. across bodies with very different properties and capabilities.