Closed jasonseu closed 2 years ago
stable
of mj_envs
@suraj-nair-1 -- can you try this at our end as well.
Looking at the commits my guess is the env updates maybe impacted something in the visuals/physics, which would produce a distribution shift between the R3M demo data and evaluation env. But not sure yet, I'll take a closer look and try it out in a bit.
I did some digging --
pen-v0
task faced issues as pen has no dependency on this submodule.@suraj-nair-1: I rolled it back on a new test brach https://github.com/vikashplus/mj_envs/tree/stable-bugtest to help with testing. Let's confirm that rolling back this version bump fixes things and then we will revert back the stable branch as well.
Yeah I just confirmed, things were working fine for me on this commit. When I re-cloned and installed the latest version of stable
(and latest sub-modules), it no longer works and I indeed get the kitchen with completely different visuals. The demos are pre-collected so this will cause issues.
So I think reverting back to 8c8b68c9a77981ca3bd3ff13f114f13a783ce2bf
should resolve this.
Also tested the new stable-bugtest
branch and it behaves as expected.
@suraj-nair-1 -- both kitchen as well as the pen-v0 tasks?
Once I get a thumbs up, I'll merge stable-bugtest
with stable
.
Just tested, I also get the expected performance for pen-v0. I think you should be good to merge.
Fixed in 8d125b5dbf48118cf34915ec2351608db469882b
Hi, thanks for your great work. I have configured all the environment depended by Franka Kitchen and Adroit about a month ago, and training results, and the training results look similar to the paper. However, recently I reconfigured the environment and ran the training command. The losses decreased normally, but the success rates are always 0.0%, whether on the kitchen_sdoor_open-v3 task or the pen-v0 task. I have tried my best to figure out this problem, but finally failed. Is this related to the recent updates to the mj_evns repository? Hope for help.