garage.sampler.vec_env_executor module

Environment wrapper that runs multiple environments.

class VecEnvExecutor(envs, max_path_length)

Bases: object

Environment wrapper that runs multiple environments.

Parameters:

• envs (list[gym.Env]) – List of environments to batch together.
• max_path_length (int) – Maximum length of any path.

action_space

Read the action space.

Returns:The action space. Return type:gym.Space

close()

Close all environments.

num_envs

Read the number of environments.

Returns:Number of environments Return type:int

observation_space

Read the observation space.

Returns:The observation space. Return type:gym.Space

reset()

Reset all environments.

Returns:Observations of shape \((K, O*)\) Return type:np.ndarray

step(action_n)

Step all environments using the provided actions.

Inserts an environment infor ‘vec_env_executor.complete’ containing the episode end signal (time limit reached or done signal from environment).

Parameters:action_n (np.ndarray) – Array of actions. Returns:

Tuple containing:

• observations (np.ndarray)
• rewards (np.ndarray)
• dones (np.ndarray): The done signal from the environment.
• env_infos (dict[str, np.ndarray])

• completes (np.ndarray): whether or not the path is complete.

  A path is complete at some time-step N if the done signal has been received at that or before N, or if max_path_length N >= max_path_length.

Return type:tuple