ray.rllib.core.rl_module.rl_module.RLModuleConfig

class ray.rllib.core.rl_module.rl_module.RLModuleConfig(observation_space: gymnasium.Space = None, action_space: gymnasium.Space = None, inference_only: bool = False, model_config_dict: ~typing.Dict[str, ~typing.Any] = <factory>, catalog_class: ~typing.Type[Catalog] = None)

A utility config class to make it constructing RLModules easier.

Parameters:

• observation_space – The observation space of the RLModule. This may differ from the observation space of the environment. For example, a discrete observation space of an environment, would usually correspond to a one-hot encoded observation space of the RLModule because of preprocessing.

• action_space – The action space of the RLModule.

• inference_only – Whether the RLModule should be configured in its inference-only state, in which any components not needed for pure action computing (such as a value function or a target network) might be missing.

• model_config_dict – The model config dict to use.

• catalog_class – The Catalog class to use.

Methods

from_dict	Creates a config from a serialized representation.
get_catalog	Returns the catalog for this config.
to_dict	Returns a serialized representation of the config.

Attributes

action_space
catalog_class
inference_only
observation_space
model_config_dict