“…In Table 10, we categorize the reviewed proposals based on the ML technique and the type and number of used algorithms. According to our analysis of the literature review on resource management in RAN slicing, as shown in T-NN 1 Evolutionary Algorithms [65], [66], [68], [69], [67], [70], [72], [71] GA 8 [35], [79], [80], [81], [129], [130], [95] AC 7 [78] MAB 1 [111], [85], [117], [86], [87], [88], [136], [90], [96], [97], [98], [151], [126], [99], [123], [131], [114], [118], [94], [100], [103], [119], [104], [105] DQN 25 [109], [108] Q-Learning 2 Reinforcement Learning [115], [112], [84] Double DQN 3 …”