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Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning [article]

Alberto Maria Metelli, Flavio Mazzolini, Lorenzo Bisi, Luca Sabbioni, Marcello Restelli
2020 arXiv   pre-print
After having provided a theoretical study of PFQI and a heuristic approach to identify the optimal persistence, we present an experimental campaign on benchmark domains to show the advantages of action  ...  persistence and proving the effectiveness of our persistence selection method.  ...  Acknowledgements The research was conducted under a cooperative agreement between ISI Foundation, Banca IMI and Intesa Sanpaolo Innovation Center.  ... 
arXiv:2002.06836v2 fatcat:bl2b6xb3xbcajceg224iaf3poq