support for meta-World v2

[optimass]

Hello!

Amazing work!

I'm currently working on continual-world but using the meta-world v2 envs.
I'm getting really different results.
Is it on your roadmap to add support for it and rerun the experiments?
I think this is important, as meta-world v1 was found to be problematic and IFRC there was some bugs in the rewards function of some tasks.

Thanks again for this work. I've been thinking for a while about doing CRL research on meta-world, your paper was a blessing.

[dlpbc]

I agree with the above comments.
@optimass did you consider submitting a pull request with your changes to support meta-world v2 envs?
I'll do that now.

Thanks.

[optimass]

hi @dlpbc.
Actually, I've used the Sequoia library to import Continual-World w/ meta-world v2.
Here's the code to my paper.

I have now a lot of experience w/ continual world in v2, which is quite a different beast than the v1's.
Feel free to email me if you have questions or if you need tips.
@zajaczajac @maciejwolczyk feel free to send people my way if they have inquiries about v2.

[yingchengyang]

Hi @optimass , I'm trying to change the code into torch and test in MetaWorld v2. But when I run sac to handle single task, the training stage is strange and the result can not converge. Are there any tips for training SAC in MetaWorld v2 ?

Thanks a lot!

[optimass]

v1 and v2 are too different for one to seamlessly jump from one to another.
If you want to use torch and meta-world v2, again I'd suggest just to use my codebase for that. Happy to answer any question, here's my email