Zhihong Deng

Hi~@hegongshan. Thank you for your interest in our work. Notice that the preprocessing procedure starts with filtering users and then items, so the items that a user has interacted with...

@hegongshan The original version (which is quite messy) runs successfully since I manually set the shape for each dataset, but later I clean up the code for better readability. So...

For reference, the context in the paper is as below. > The ml-1m dataset has been preprocessed by the provider. Each user has at least 20 ratings and each item...

Huh，I only read the preprocessing part and that seems correct. Happy for you.

你指的冗余是？

For the Atari experiments, it seems like line [221](https://github.com/aviralkumar2907/CQL/blob/d67dbe9cf5d2b96e3b462b6146f249b3d6569796/atari/batch_rl/multi_head/quantile_agent.py#L221) ~ [243](https://github.com/aviralkumar2907/CQL/blob/d67dbe9cf5d2b96e3b462b6146f249b3d6569796/atari/batch_rl/multi_head/quantile_agent.py#L243) in quantile_agent.py are of interest. For the D4RL experiments, it seems like line [233](https://github.com/aviralkumar2907/CQL/blob/d67dbe9cf5d2b96e3b462b6146f249b3d6569796/d4rl/rlkit/torch/sac/cql.py#L233) ~ [300](https://github.com/aviralkumar2907/CQL/blob/d67dbe9cf5d2b96e3b462b6146f249b3d6569796/d4rl/rlkit/torch/sac/cql.py#L233) in cql.py are...

Hi, @sweetice. Did you successfully reproduce the results? I use the code from [d4rl_evaluations](https://github.com/rail-berkeley/d4rl_evaluations) and also fail to reproduce the results. The performance of BCQ is similar to what you...

Thank you for you reply. Unfortunately, the link (https://developers.google.com/freebase/data) you gave in the paper "KB4Rec" is abandoned now.  What's more, I can't find the dataset you used on the...

This dataset (https://developers.google.com/freebase/#freebase-rdf-dumps) contains 1.9 billion triples in total which is inconsistent with what you said in the KSR paper: > we adopt the one-time Freebase [8] dump consisting of...

Is there any other way to solve this problem???