From Semantics to Execution: Integrating Action Planning With Reinforcement Learning for Robotic Causal Problem-Solving

Reinforcement learning is generally accepted to be an appropriate and successful method to learn robot control. Symbolic action planning is useful to resolve causal dependencies and to break a causally complex problem down into a sequence of simpler high-level actions. A problem with the integration...

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Bibliographic Details
Published in:Front Robot AI
Main Authors: Eppe, Manfred, Nguyen, Phuong D. H., Wermter, Stefan
Format: Artigo
Language:Inglês
Published: Frontiers Media S.A. 2019
Subjects:
Robotics and AI
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC7805615/
https://ncbi.nlm.nih.gov/pubmed/33501138
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/frobt.2019.00123
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