JOURNAL ARTICLE
Hierarchical Reinforcement Learning with OMQ
Abstract
A novel method of hierarchical reinforcement learning, named OMQ, by integrating options into MAXQ is presented. In OMQ, the MAXQ is used as basic framework to design hierarchies experientially and learn online, and the option is used to construct hierarchies automatically. The performance of OMQ is demonstrated in taxi domain and compared with Option and MAXQ. The simulation results show that the OMQ is more practical than option and MAXQ in partial known environment
Keywords:
Computer science Reinforcement learning Construct (python library) Domain (mathematical analysis) Artificial intelligence Machine learning
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11
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0.15
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Citation History
Topics
Reinforcement Learning in Robotics
Physical Sciences → Computer Science → Artificial Intelligence
Elevator Systems and Control
Physical Sciences → Engineering → Control and Systems Engineering
Advanced Software Engineering Methodologies
Physical Sciences → Computer Science → Artificial Intelligence
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