Python 如何利用Chainer深度Q学习模型进行预测_Python_Machine Learning_Deep Learning_Q Learning_Chainer

Python 如何利用Chainer深度Q学习模型进行预测

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Python 如何利用Chainer深度Q学习模型进行预测,python,machine-learning,deep-learning,q-learning,chainer,Python,Machine Learning,Deep Learning,Q Learning,Chainer,我通过Chainer培训了一个深度Q学习模型： from ddqn import Q_Network,Environment1 from chainer import datasets, iterators, optimizers, serializers Q = Q_Network (input_size=91, hidden_size=100, output_size=3) serializers.load_npz(r'C:\Users\willi\Desktop\dqn\dqn.mode

我通过Chainer培训了一个深度Q学习模型：

from ddqn import Q_Network,Environment1
from chainer import datasets, iterators, optimizers, serializers

Q = Q_Network (input_size=91, hidden_size=100, output_size=3)
serializers.load_npz(r'C:\Users\willi\Desktop\dqn\dqn.model', Q)

我的问题是我如何用它来预测