A set of novel continuous action-set reinforcement learning automata models to optimize continuous functions
Crossref DOI link: https://doi.org/10.1007/s10489-016-0853-4
Published Online: 2016-12-08
Published Print: 2017-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Guo, Ying
Ge, Hao
Li, Shenghong
Funding for this research was provided by:
National Natural Science Foundation of China (61271316)
License valid from 2016-12-08