Closed davidADSP closed 11 months ago
Hi!
We have included our requirements in environment.yml
. To set up a conda environment based on these specifications, simply run: conda env create -f environment.yml
. Within this file, you'll also find the versions for gym
and other dependent libraries.
Hope this helps!
A few people on Kaggle have brought up this issue. Would it be super difficult to just upgrade to gymnasium?
We have recently updated the Baseline for the new gymnasium version. You can access the code here: https://github.com/RoboEden/Luxai-s2-Baseline/tree/main/Luxai-s2-Baseline4gymnasium.
Hey!
Could you include a
requirements.txt
so that we know which versions ofgym
/torch
this is compatible with?I see it's using
gym
rather thatgymansium
and also thatenv.seed(x)
is used so must be pre v26 ofgym
.Thanks!