massquantity / dbrl Goto Github PK
View Code? Open in Web Editor NEWDataset Batch(offline) Reinforcement Learning for recommender system
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scarlett796 aimetrics hankly hwlsniper agent-only albertleers mantouo10 baldwin054212 yistar-traitor lliony toheight bochuxt amirgolp iamnotgay zjj-cathy sandy4321 likeucode zhijie-ai harimenath tianchengcheng-cn bowendoctor1616 hanhaodizhang brian1203-zz nancochow hongthana melooooooo liguoyu1 aliang-rec ansoman pkulwj1994 sanghyeon16 citymap junweixiong skiiwoo jianzhu linhe-githubdbrl's Issues
随着epoch的增加，损失值从epoch3开始突然增大，不知道什么原因，请作者解答一下
请问这是Deep Reinforcement Learning for List-wise Recommendations 这篇论文的代码吗
About DSSM
@massquantity In your model, DSSM stands for 'Deep Semantic Similarity Model'?
And I would like to know why that model is chosen as the embedding model for users and items to represent the state in the RL policy.
运行报错
在运行run_pretrain_embeddings.py时报错Expected tensor for argument #1 'indices' to have scalar type Long; but got torch.cuda.IntTensor instead (while checking arguments for embedding)
大佬，请问对于用户特征的csv文件我是否可以换成我自己的数据？如果特征维数高是否对结果有影响呢？
Performance of DDPG and REINFORCE
I cannot get increasing rewards on REINFORCE and DDPG algorithms. Is this normal? Can you provide the final results of the three algorithms? Thank you!
无法获取数据集 求分享
损失很大
@massquantity 网络损失从第三轮左右就变得非常大，ndcg一直很小，你的运行结果也是这样吗，不知道哪里的问题
FileNotFoundError: [Errno 2] No such file or directory: 'resources/user.csv'
When I run 'run_reinforce.py', I got the below error.
How can I get user data (user.csb) ?
FileNotFoundError: [Errno 2] No such file or directory: 'resources/user.csv'
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