denisyarats / Dmc2gym
Licence: mit
OpenAI Gym wrapper for the DeepMind Control Suite
Stars: ✭ 75
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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:
- Reliable random seed initialization that will ensure deterministic behaviour.
- Setting
from_pixels=Trueconverts proprioceptive observations into image-based. In additional, you can choose the image dimensions, by settingheightandwidth. - Action space normalization bound each action's coordinate into the
[-1, 1]range. - Setting
frame_skipargument lets to perform action repeat.
Instalation
pip install git+git://github.com/denisyarats/dmc2gym.git
Usage
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)
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