Albatta, bu erda har bir usulning batafsil tushuntirilishi mavjud: 1. Domen tasodifiylashtirish: Domen tasodifiylashtirish atrof-muhit va agentning parametrlariga tasodifiy o'zgarishlarni qo'shishni o'z ichiga oladi. Bu agentni yangi sharoitlarga umumlashtirish ehtimoli ko'proq. Python-da misol: ```python import numpy as def np add_randomization.Environment, parameters): for key, value in parameters.items: randomization_value = np.random.uniform-value, value environment) [key] += randomization_value ``` 2. Haqiqiy dunyo parametrlaridan foydalanish: agentni o'qitish paytida, masalan, shovqin sensori va aktyuyer dinamikasi, simulyatsiyaning aniqligini yaxshilashi va haqiqatni kamaytirishi
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