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Dataset Batch(offline) Reinforcement Learning for recommender system
@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.
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)
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!
@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
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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