Struct FRLlibNetworkArchSettings

Struct FRLlibNetworkArchSettings

• Defined in File RLlibNetworkArchitectureSettings.h

Inheritance Relationships

Base Type

• public FTrainingSettings (Struct FTrainingSettings)

struct FRLlibNetworkArchSettings : public FTrainingSettings

Source: Source/Schola/Training/Public/TrainingSettings/Ray/RLlibNetworkArchitectureSettings.h

Dependencies: FScriptArgBuilder

A struct to hold network architecture settings for an RLlib training script.

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Public Functions

Symbol	Details
GenerateTrainingArgs	Generate the training arguments for the script using the ArgBuilder.
~FRLlibNetworkArchSettings	—

GenerateTrainingArgs

virtual void GenerateTrainingArgs(FScriptArgBuilder &ArgBuilder) const

Generate the training arguments for the script using the ArgBuilder.

Populates the ArgBuilder with training-specific command-line arguments.

Parameters

ArgBuilder – [inout] The builder to use to generate the arguments.

#	Direction	Name	Type	Description
1	—	ArgBuilder	FScriptArgBuilder &	The builder to use to generate the arguments.

Attributes: const, virtual

Source: Source/Schola/Training/Public/TrainingSettings/Ray/RLlibNetworkArchitectureSettings.h

Implementation: Source/Schola/Training/Private/TrainingSettings/Ray/RLlibNetworkArchitectureSettings.cpp

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~FRLlibNetworkArchSettings

virtual ~FRLlibNetworkArchSettings()

Attributes: virtual

Source: Source/Schola/Training/Public/TrainingSettings/Ray/RLlibNetworkArchitectureSettings.h

Implementation: Source/Schola/Training/Private/TrainingSettings/Ray/RLlibNetworkArchitectureSettings.cpp

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Public Members

Symbol	Details
ActivationFunction	The activation function to use in the neural network.
FCNetHiddens	The number and width of hidden layers in the neural network.
MinibatchSize	The size of each minibatch.
bUseAttention	Whether to use attention in the model.
AttentionDims	The dimension of the attention layer.

Var

ERLlibActivationFunctionEnum ActivationFunction =
    ERLlibActivationFunctionEnum::ReLU

The activation function to use in the neural network.

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FCNetHiddens

TArray<int> FCNetHiddens = {512, 512}

The number and width of hidden layers in the neural network.

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MinibatchSize

int MinibatchSize = 256

The size of each minibatch.

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bUseAttention

bool bUseAttention = false

Whether to use attention in the model.

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AttentionDims

int AttentionDims = 64

The dimension of the attention layer.