How to make use of custom data types in observation spaces?
Hey there I am quite new to Reinforcement Learning.
I defined a custom numpy data type like this:
dtype_page = np.dtype([ ('in_use', np.bool_)])
I want to use a box space with this custom type to define my observation space:
self.observation_space = spaces.Dict({ 'pages': spaces.Box(low=0, high=1, shape=(57,), dtype=dtype_page), ... })
However, when I run my environment the following errors occur
File "/../.venv/lib/python3.11/site-packages/gymnasium/envs/registration.py", line 802, in make
env = env_creator(**env_spec_kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/../gym_yos/envs/yos_env.py", line 75, in init
'pages': spaces.Box(low=0, high=1, shape=(57,), dtype=dtype_page),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/../.venv/lib/python3.11/site-packages/gymnasium/spaces/box.py", line 125, in init
if np.any(low > high):
^^^^^^^^^^
numpy.core._exceptions._UFuncNoLoopError: ufunc 'greater' did not contain a loop with signature matching types (<class 'numpy.dtypes.VoidDType'>, <class 'numpy.dtypes.VoidDType'>) -> None
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/../gym_yos/env_handler.py", line 10, in
env = gym.make('YOS-v0');
^^^^^^^^^^^^^^^^^^
File "/../.venv/lib/python3.11/site-packages/gymnasium/envs/registration.py", line 814, in make
raise type(e)(
^^^^^^^^
TypeError: _UFuncNoLoopError.init() missing 1 required positional argument: 'dtypes'
Can I use custom data types like this or am I missing something other essential? Any hint is highly appreciated.
How to make use of custom data types in observation spaces?
Hey there I am quite new to Reinforcement Learning.
I defined a custom numpy data type like this:
dtype_page = np.dtype([ ('in_use', np.bool_)])
I want to use a box space with this custom type to define my observation space:
self.observation_space = spaces.Dict({ 'pages': spaces.Box(low=0, high=1, shape=(57,), dtype=dtype_page), ... })
However, when I run my environment the following errors occur
Can I use custom data types like this or am I missing something other essential? Any hint is highly appreciated.