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Int-HRL: towards intention-based hierarchical reinforcement learning
Anna Penzkofer
, Simon Schaefer
, Florian Strohm
, Mihai Bâce
,
Stefan Leutenegger
, Andreas Bulling
Informatics 9 - Assistant Professorship of Machine Learning for Robotics
Universität Stuttgart
Technical University of Munich
Katholieke Universiteit Leuven
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Keyphrases
Subgoals
100%
Hierarchical Reinforcement Learning
100%
Sampling Efficiency
40%
Eye Gaze
40%
Reinforcement Learning Algorithm
20%
Learning Process
20%
Human Eye
20%
Human Expert
20%
Fully-automatic
20%
Decision Problems
20%
Reinforcement Learning Agent
20%
Sparse Reward
20%
Reward Task
20%
Task Training
20%
Deep Reinforcement Learning (deep RL)
20%
Goal-oriented
20%
Extraction pipeline
20%
Reinforcement Learning Task
20%
Computer Science
Hierarchical Reinforcement Learning
100%
Reinforcement Learning
33%
Learning Process
33%
Annotation
33%
Deep Reinforcement Learning
33%
Decision Problem
33%
Learning Agent
33%
Psychology
Goal-Oriented
100%