Run pip install -e .
in the root directory.
In the main RL script include:
import gym
import gym_drl4doe
...
env_variant = ...
...
env = gym.make(env_variant['env_str'])
env.initialise_environment(**env_variant)
Then use env
like any normal gym enviornemnt (e.g. use env.reset()
and env.step(action)
).