Research Article
A Deep Learning Approach to Optimal Sampling Problems
| Input: steps ; integers ; degree ; precision . | | Output: optimal value ; function . | (1) | Randomly select a set of actions ; | (2) | Calculate the corresponding value ; | (3) | Neural network fitting | (4) | for to do | (5) | | (6) | if and then | (7) | BREAK. | (8) | end if | (9) | ; | (10) | if mod then | (11) | ; | (12) | ; | (13) | ; | (14) | end if | (15) | end for | (16) | ; | (17) | |
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