fancy_gym/alr_envs/examples/examples_open_ai.py

import alr_envs


def example_mp(env_name, seed=1, render=True):
    """
    Example for running a motion primitive based version of a OpenAI-gym environment, which is already registered.
    For more information on motion primitive specific stuff, look at the traj_gen examples.
    Args:
        env_name: ProMP env_id
        seed: seed
        render: boolean
    Returns:

    """
    # While in this case gym.make() is possible to use as well, we recommend our custom make env function.
    env = alr_envs.make(env_name, seed)

    returns = 0
    obs = env.reset()
    # number of samples/full trajectories (multiple environment steps)
    for i in range(10):
        if render and i % 2 == 0:
            env.render(mode="human")
        else:
            env.render(mode=None)
        ac = env.action_space.sample()
        obs, reward, done, info = env.step(ac)
        returns += reward

        if done:
            print(returns)
            obs = env.reset()


if __name__ == '__main__':
    example_mp("ReacherProMP-v2")