OpenAI Gym wrapper for the DeepMind Control Suite
A lightweight wrapper around the DeepMind Control Suite that provides the standard OpenAI Gym interface. The wrapper allows to specify the following:
from_pixels=True
converts proprioceptive observations into image-based. In additional, you can choose the image dimensions, by setting height
and width
.[-1, 1]
range.frame_skip
argument lets to perform action repeat.pip install git+git://github.com/denisyarats/dmc2gym.git
import dmc2gym
env = dmc2gym.make(domain_name='point_mass', task_name='easy', seed=1)
done = False
obs = env.reset()
while not done:
action = env.action_space.sample()
obs, reward, done, info = env.step(action)