Quyidagi Python tilidagi PPO algoritmini amalga oshirish uchun namunaviy kodlar 。 kodlar asosan ikkita qismga bo'linadi:1) Strategiyalarni baholash;2) Strategiyalarni yangilash 。 Avvalo, biz kerakli kutubxonalarni import qilishimiz kerak: ``` import numpy as np import torch import torch.nn as nn import torch.optim as optim ```` Keyin biz strategiyani ifodalash uchun neyron tarmoqlarni belgilashimiz kerak, bu erda biz oddiy ko'p qatlamli sezgichdan foydalanamiz: ``` MLP classnn.Module: __ definit__cc, self, input_size, hidden_size, output_size): superMLP, self).__) self.init.fc1 = nn.Linear_size, hidden_size, self.fc2 = nn.Linear
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