make_dmc_env
.make_dmc_env(
env_id: str = 'humanoid_run', num_envs: int = 1, device: str = 'cpu', seed: int = 1,
visualize_reward: bool = True, from_pixels: bool = False, height: int = 84,
width: int = 84, frame_stack: int = 3, action_repeat: int = 1, asynchronous: bool = True
)
Create DeepMind Control Suite environments.
Args
- env_id (str) : Name of environment.
- num_envs (int) : Number of environments.
- device (str) : Device to convert the data.
- seed (int) : Random seed.
- visualize_reward (bool) : Opposite to
from_pixels
. - from_pixels (bool) : Provide image-based observations or not.
- height (int) : Image observation height.
- width (int) : Image observation width.
- frame_stack (int) : Number of stacked frames.
- action_repeat (int) : Number of action repeats.
- asynchronous (bool) :
True
for creating asynchronous environments, andFalse
for creating synchronous environments.
Returns
The vectorized environments.