Python run_planning_demo 예제들

예제 #1

def demo_ff_planning(env_name, wrapper_args, num_problems, render=True, test=False, verbose=True):
    gym_name = env_name.capitalize()
    if test:
        gym_name += "Test"
    env = gym.make("PDDLEnv{}-v0".format(gym_name))
    if not render: env._render = None

    env = ProbabilisticWrapper(env, *wrapper_args)
    for problem_index in range(num_problems):
        env.fix_problem_index(problem_index)
        run_planning_demo(env, 'ff', verbose=verbose, check_reward=False)

예제 #2

파일: demo.py 프로젝트: kamikaze0923/pddl_gym

def demo_ff_planning(env_name,
                     num_problems,
                     render=True,
                     test=False,
                     verbose=True):
    gym_name = env_name.capitalize()
    if test:
        gym_name += "Test"
    env = gym.make("PDDLEnv{}-v0".format(gym_name))
    if not render: env._render = None
    for problem_index in range(num_problems):
        env.fix_problem_index(problem_index)
        run_planning_demo(env, 'ff', verbose=verbose)