be02add9cc983f8664d27c42594b953dcf5ff39f,yarll/main.py,,run_experiment,#Any#Any#Any#Any#Any#,7

Before Change

        config["description"] = description
    config["seed"] = str(seed)
    config["start_time"] = datetime.datetime.now().astimezone().isoformat()
    save_config(monitor_path, config, [env.metadata["parameters"] for env in envs], repo_path=os.path.abspath(os.path.join(os.path.realpath(__file__), "../../")))
    agent.learn()

After Change

    args["envs"] = envs
    if len(envs) == 1 or only_last:
        args["env"] = envs[-1]
    env_agent_action_space = {
        Discrete: "discrete",
        Box: "continuous",
        MultiBinary: "multibinary"
    }
    action_space_type = "discrete" if isinstance(envs[0].action_space, Discrete) else "continuous"
    action_space_type = env_agent_action_space.get(envs[0].action_space, None)
    state_dimensions = "single" if len(envs[0].observation_space.shape) == 1 else "multi"
    agent = make_agent(spec["agent"]["name"], state_dimensions, action_space_type, **args)

Instances