biggym jump__cheetah doesn't work
Easiest way to demonstrate it is to go to https://colab.research.google.com/github/google/brax/blob/main/notebooks/biggym/biggym_rl.ipynb and do these two changes: env_name = 'jump__cheetah' and env_params = {}
This will throw an error:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
[<ipython-input-5-62a6890dacfc>](https://localhost:8080/#) in <module>()
11 env_fn = composer.create_fn(env_name=env_name, **env_params)
12 # env_fn = biggym.create_fn(env_name=env_name, **env_params)
---> 13 env = env_fn()
14 show_env(env)
[/usr/local/lib/python3.7/dist-packages/brax/experimental/composer/composer.py](https://localhost:8080/#) in create(env_name, env_desc, desc_edits, episode_length, action_repeat, auto_reset, batch_size, **kwargs)
477 else:
478 assert not kwargs, f'unused kwargs: {kwargs}'
--> 479 env_desc = dict(**env_desc, **desc)
480 env_desc = composer_utils.edit_desc(env_desc, desc_edits)
481 composer = Composer(**env_desc)
TypeError: type object argument after ** must be a mapping, not JumpCheetah
All other biggym envs have mappings as ENV_DESCS and work fine, while jump__cheetah points to a class:

@frt03 , could you take a look at this?
fwiw, environments in the experimental directory have no stability guarantees :)
I am on paternity leave so there will be delays. I can take a look sometime. Or @frt03
fwiw, environments in the experimental directory have no stability guarantees :)
I'm trying to add a similar env to biggym and I wanted to use jump__cheetah as a template, but now I'm not sure if it's done correctly.
Hi @KarolisRam,
Temporally, you may change this line as
def is_env_desc(env_desc: Any):
"""Check if it is appropriate env_desc object."""
return isinstance(env_desc, dict) or callable(env_desc) and (not inspect.isclass(env_desc))
and use biggym.create_fn instead of composer.create_fn. We may fix this in the future release.