reagent.net_builder.continuous_actor package

Submodules

reagent.net_builder.continuous_actor.dirichlet_fully_connected module

class reagent.net_builder.continuous_actor.dirichlet_fully_connected.DirichletFullyConnected(sizes: List[int] = <factory>, activations: List[str] = <factory>, use_batch_norm: bool = False)

Bases: reagent.net_builder.continuous_actor_net_builder.ContinuousActorNetBuilder

activations: List[str]
build_actor(state_feature_config: reagent.core.types.ModelFeatureConfig, state_normalization_data: reagent.core.parameters.NormalizationData, action_normalization_data: reagent.core.parameters.NormalizationData) reagent.models.base.ModelBase
property default_action_preprocessing: str
sizes: List[int]
use_batch_norm: bool = False

reagent.net_builder.continuous_actor.fully_connected module

class reagent.net_builder.continuous_actor.fully_connected.FullyConnected(sizes: List[int] = <factory>, activations: List[str] = <factory>, use_batch_norm: bool = False, use_layer_norm: bool = False, action_activation: str = 'tanh', exploration_variance: Optional[float] = None)

Bases: reagent.net_builder.continuous_actor_net_builder.ContinuousActorNetBuilder

action_activation: str = 'tanh'
activations: List[str]
build_actor(state_feature_config: reagent.core.types.ModelFeatureConfig, state_normalization_data: reagent.core.parameters.NormalizationData, action_normalization_data: reagent.core.parameters.NormalizationData) reagent.models.base.ModelBase
property default_action_preprocessing: str
exploration_variance: Optional[float] = None
sizes: List[int]
use_batch_norm: bool = False
use_layer_norm: bool = False

reagent.net_builder.continuous_actor.gaussian_fully_connected module

class reagent.net_builder.continuous_actor.gaussian_fully_connected.GaussianFullyConnected(sizes: List[int] = <factory>, activations: List[str] = <factory>, use_batch_norm: bool = False, use_layer_norm: bool = False, use_l2_normalization: bool = False, embedding_dim: Optional[int] = None)

Bases: reagent.net_builder.continuous_actor_net_builder.ContinuousActorNetBuilder

activations: List[str]
build_actor(state_feature_config: reagent.core.types.ModelFeatureConfig, state_normalization_data: reagent.core.parameters.NormalizationData, action_normalization_data: reagent.core.parameters.NormalizationData) reagent.models.base.ModelBase
property default_action_preprocessing: str
embedding_dim: Optional[int] = None
sizes: List[int]
use_batch_norm: bool = False
use_l2_normalization: bool = False
use_layer_norm: bool = False

Module contents