Updates documentation (#125)

# Description

- Adds description on running multi-agents environments in docs
- Add driver requirement for Windows

## Type of change

- New feature (non-breaking change which adds functionality)

## Checklist

- [x] I have run the [`pre-commit` checks](https://pre-commit.com/) with
`./isaaclab.sh --format`
- [x] I have made corresponding changes to the documentation
- [ ] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] I have updated the changelog and the corresponding version in the
extension's `config/extension.toml` file
- [x] I have added my name to the `CONTRIBUTORS.md` or my name already
exists there

docs/source/features/environments.rst

@@ -245,6 +245,13 @@ Others
 Multi-agent
 ------------
 
+.. note::
+
+    True mutli-agent training is only available with the `skrl` library, see the `Multi-Agents Documentation <https://skrl.readthedocs.io/en/latest/api/multi_agents.html>`_ for more information.
+    It supports the `IPPO` and `MAPPO` algorithms, which can be activated by adding the command line input ``--algorithm IPPO`` or ``--algorithm MAPPO`` to the train/play script.
+    If these environments are run with other libraries or without the `IPPO` or `MAPPO` flags, they will be converted to single-agent environments under the hood.
+
+
 Classic
 ~~~~~~~
 

docs/source/overview/reinforcement-learning/rl_existing_scripts.rst

@@ -59,6 +59,18 @@ SKRL
             # run script for recording video of a trained agent (requires installing `ffmpeg`)
             ./isaaclab.sh -p source/standalone/workflows/skrl/play.py --task Isaac-Reach-Franka-v0 --headless --ml_framework jax --video --video_length 200
 
+   - Training the multi-agent environment ``Isaac-Shadow-Hand-Over-Direct-v0`` with skrl:
+
+   .. code:: bash
+
+      # install python module (for skrl)
+      ./isaaclab.sh -i skrl
+      # run script for training with the MAPPO algorithm (IPPO is also supported)
+      ./isaaclab.sh -p source/standalone/workflows/skrl/train.py --task Isaac-Shadow-Hand-Over-Direct-v0 --headless --algorithm MAPPO
+      # run script for playing with 32 environments with the MAPPO algorithm (IPPO is also supported)
+      ./isaaclab.sh -p source/standalone/workflows/skrl/play.py --task Isaac-Shadow-Hand-Over-Direct-v0 --num_envs 32 --algorithm MAPPO --checkpoint /PATH/TO/model.pt
+
+
 RL-Games
 --------
 

docs/source/setup/installation/pip_installation.rst

@@ -20,6 +20,10 @@ compatibility issues with some Linux distributions. If you encounter any issues,
    by default. If you encounter compatibility issues, we recommend following the
    :ref:`Isaac Sim Binaries Installation <isaacsim-binaries-installation>` approach.
 
+.. attention::
+
+      On Windows with CUDA 12, the GPU driver version 552.86 is required.
+
 -  To use the pip installation approach for Isaac Sim, we recommend first creating a virtual environment.
    Ensure that the python version of the virtual environment is **Python 3.10**.