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Experimental results of MoREL for D4RL benchmarks #35
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I'm having issues with reproducing the work as well. I noticed the Here is my config and results:
I imagine some configurations are wrong. If this is true, please provide us the correct configuration to reproduce the work. |
Hi guys. I just go through the code, and I find the setup of NumPy seed is missing in the |
Thank you for the interest and apologies for the slow reply (I've been a bit behind due to my PhD defense). Below are quick replies. I will leave the issue open and provide more detailed answers in a week after ICML rebuttals are over.
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Hi, I'm having issues with reproducing the work as well. Here is my results in the hopper-medium-v0 datasets, using the official code from https://sites.google.com/view/morel and default hyperparameters from d4rl_hopper_medium.txt. |
Hi :) Thanks for the great work! @aravindr93 If you don't mind asking, I wonder when would you be able to share the configs for D4RL results? If they're already shared, I'd appreciate it if anyone could point me to where I can find them. Thanks! :) |
Hi guys. I will give you some tips for reproducing MOReL on D4RL dataset.
I hope this will be helpful for your research. |
I reproduced the hopper-random-v0 result on d4rl by using the |
Hi, I run the command following the readme file as https://github.com/aravindr93/mjrl/tree/v2/projects/morel, but my results is different from the picture shown. Here is my results: |
Hi,
Thanks so much for the open-sourced work. The results presented here are very impressive. But I really cannot reproduce the experimental results shown in "Readme page", especially the random datasets in D4RL benchmarks. Could you please share the configs fils and "reward_functions.".py used for D4RL benchamrks?
Btw:
Here is my results in the hopper-random-v0 and hopper-medium-v0 datasets, using the default hyperparameters from d4rl_hopper_medium.txt
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