CPC G06N 3/08 (2013.01) [G06N 3/045 (2023.01); G06N 5/022 (2013.01); G06Q 10/06313 (2013.01); G06Q 2220/18 (2013.01)] | 22 Claims |
1. A computer implemented nesting reinforcement machine learning method applied to improve a cost effectiveness of a nested software-encoded reinforcement learning program, the method comprising:
(a.) a nesting reinforcement machine learning software-encoded program performing a plurality of cycles of execution (“executions”) of the nested software-encoded reinforcement learning program;
(b.) the nesting reinforcement machine learning software-encoded program evaluating variations of at least one financial cost value monitored during the executions of the nested software-encoded reinforcement learning program; and
(c.) the nesting reinforcement machine learning software-encoded program adjusting at least one resource parameter value of the nested software-encoded reinforcement learning program at least partly in consideration of the variations of the at least one financial cost value observed during the executions of the nested software-encoded reinforcement learning program.
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