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Deep reinforcement learning for recommendation system

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I've got this error on "simulator.py", line 20, init_state = np.array(self.data['state_float'].sample(1).values[0]).reshape((1, 12, 30)) ValueError: cannot reshape array of size 1 into shape (1,12,30) can you help me?

I'm trying to use the sample data to train the model but I get the following error: ```Traceback (most recent call last): File "build_estimator.py", line 11, in from replay_buffer import...

gene_action产生的是id,怎么可以reshape成[a_dim,]传入critic网络的不应该是action对应的权重吗

"train.csv"还有"embed.csv"里面的数据格式具体是怎样的呢?能截图一下吗?

drl-rec-master/pre_process_data.py这个文件中的错误: list(map(lambda t: list(np.array(t.split(','), dtype=np.float64)), row[org].split('|'))) AttributeError: ("'int' object has no attribute 'split'", 'occurred at index 0') 在我的电脑上运行出现这样的问题。

Is this a complete implementation of the paper (Deep Reinforcement Learning for List-wise Recommendations)?

请问能提供work的数据样例吗,谢谢

您好,为什么我在结合数据集训练过程中,reward是越来越高的,但是critic网络的loss却越来越大

Thanks for your work , and I have downloaded this project and plan to run it on my computer. However, I failed in tf12 and tf13. So what is the...