[Proposal] Gymnasium/MuJoCo-v5 dataset generation

[Kallinteris-Andreas]

Proposal

I will make Datasets for the gymnasium/mujoco-v5 environments
The Datasets will be provided in 5 stages for sake of review process

Stage 1

Environments: InvertedPendulum, InvertedDoublePendulum
Datasets: 1 "Medium" + 1 "Expert" (the "expert policy" here mean "perfect", because the environments are so simple)

Stage 2

Environments: Reacher, Pusher
Datasets: 1 "Medium" + 1 "Expert"

Stage 3

Environments: Hopper, Walker, HalfCheetah
Datasets: 1 "Simple" + 1 "Medium" + 1 "Expert"

Stage 4

Environments: Swimmer (this is a bit of special case cause of the learning rate requirement)
Datasets: 1 "Expert"

Stage 5

Environments: Ant, Humanoid, Humanoid Standup
Datasets: 2 "Simple" + 2 "Medium" + 1 "Expert" (note: the expert here will be a fine-tuning policy, like we have Ant-v5 already)

Stage 6 (Bonus maybe?)

Environments (from menagerie real robots): "GoogleBarkour-v1", "Unitree-G1"
Datasets: (probably) 1 "Medium" + 1 "Expert"

Motivation

This is already well requested.

Pitch

Alternatives

Any suggestion welcome, or alterations to current plan are welcome

Additional context

The Dataset generation process will begin after gym1.0 is released.
I am the project manager of Gymnasium Robotics

The Rodrigo's code (https://github.com/Farama-Foundation/minari-dataset-generation-scripts/pull/8/files) will likely be adapted for the new versions of SB3, GYM, MINARI, rather than writing it from scratch

Checklist

• [] I have checked that there is no similar issue in the repo (required)

[younik]

Perfect, this sounds good, thanks!

I suggest to use MuJoCo as namespace for the datasets