PreProcessor

class maze.core.wrappers.observation_preprocessing.preprocessors.base.PreProcessor(observation_space: gymnasium.spaces.Space, **kwargs)

Interface for observation pre-processors. Pre-processors implementing this interface can be used in combination with the PreProcessingWrapper.

Parameters:

• observation_space – The observation space to pre-process.

• kwargs – Arguments to be passed on to preprocessor’s constructor.

abstract process(observation: numpy.ndarray) → numpy.ndarray

Pre-processes the observation.

Parameters:

observation – The observation to pre-process.

Returns:

The pre-processed observation.

abstract processed_shape() → Tuple[int, ...]

Computes the observation’s shape after pre-processing.

Returns:

The resulting shape.

abstract processed_space() → gymnasium.spaces.Box

Modifies the given observation space according to the respective pre-processor.

Returns:

The updated observation space.

tag() → str

Returns a tag identifying the pre-processed feature.

Returns:

The pre-processor’s tag.