Extending Goal-Oriented Specification for Reinforcement Learning to High Dimensions
Published in In book: Modeling Decisions for Artificial Intelligence (pp.262-274)Publisher: Springer Nature, 2024
This paper extends goal-oriented specification by enabling training from high-dimensional state spaces while preserving the intuitive feature space used for goal specification.
Recommended citation: Extending Goal-Oriented Specification for Reinforcement Learning to High Dimensions; Bjarne Grotelüschen, Simon Schwan and Sabine Glesner; In book: Modeling Decisions for Artificial Intelligence (pp.262-274)Publisher: Springer Nature
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