Adds env_cfg and agent_cfg to wandb in rl_games (#2771)

# Description

This PR logs env_cfg and agent_cfg to wandb in accordance how rl_games
handles env_cfg and agent_cfg. Before env_cfg and agent_cfg is not
observable from wandb run.


## Type of change

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

## Screenshots

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## Checklist

- [x] I have run the [`pre-commit` checks](https://pre-commit.com/) with
`./isaaclab.sh --format`
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [x] 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

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scripts/reinforcement_learning/rl_games/train.py

@@ -194,10 +194,11 @@ def main(env_cfg: ManagerBasedRLEnvCfg | DirectRLEnvCfg | DirectMARLEnvCfg, agen
             entity=args_cli.wandb_entity,
             name=experiment_name,
             sync_tensorboard=True,
-            config=agent_cfg,
             monitor_gym=True,
             save_code=True,
         )
+        wandb.config.update({"env_cfg": env_cfg.to_dict()})
+        wandb.config.update({"agent_cfg": agent_cfg})
 
     if args_cli.checkpoint is not None:
         runner.run({"train": True, "play": False, "sigma": train_sigma, "checkpoint": resume_path})