mlpack
mlpack::rl::TrainingConfig Member List

This is the complete list of members for mlpack::rl::TrainingConfig, including all inherited members.

AtomSize() constmlpack::rl::TrainingConfiginline
AtomSize()mlpack::rl::TrainingConfiginline
Discount() constmlpack::rl::TrainingConfiginline
Discount()mlpack::rl::TrainingConfiginline
DoubleQLearning() constmlpack::rl::TrainingConfiginline
DoubleQLearning()mlpack::rl::TrainingConfiginline
ExplorationSteps() constmlpack::rl::TrainingConfiginline
ExplorationSteps()mlpack::rl::TrainingConfiginline
GradientLimit() constmlpack::rl::TrainingConfiginline
GradientLimit()mlpack::rl::TrainingConfiginline
IsCategorical() constmlpack::rl::TrainingConfiginline
IsCategorical()mlpack::rl::TrainingConfiginline
NoisyQLearning() constmlpack::rl::TrainingConfiginline
NoisyQLearning()mlpack::rl::TrainingConfiginline
NumWorkers() constmlpack::rl::TrainingConfiginline
NumWorkers()mlpack::rl::TrainingConfiginline
Rho() constmlpack::rl::TrainingConfiginline
Rho()mlpack::rl::TrainingConfiginline
StepLimit() constmlpack::rl::TrainingConfiginline
StepLimit()mlpack::rl::TrainingConfiginline
StepSize() constmlpack::rl::TrainingConfiginline
StepSize()mlpack::rl::TrainingConfiginline
TargetNetworkSyncInterval() constmlpack::rl::TrainingConfiginline
TargetNetworkSyncInterval()mlpack::rl::TrainingConfiginline
TrainingConfig() (defined in mlpack::rl::TrainingConfig)mlpack::rl::TrainingConfiginline
TrainingConfig(size_t numWorkers, size_t updateInterval, size_t targetNetworkSyncInterval, size_t stepLimit, size_t explorationSteps, double stepSize, double discount, double gradientLimit, bool doubleQLearning, bool noisyQLearning, bool isCategorical, size_t atomSize, double vMin, double vMax, double rho) (defined in mlpack::rl::TrainingConfig)mlpack::rl::TrainingConfiginline
UpdateInterval() constmlpack::rl::TrainingConfiginline
UpdateInterval()mlpack::rl::TrainingConfiginline
VMax() constmlpack::rl::TrainingConfiginline
VMax()mlpack::rl::TrainingConfiginline
VMin() constmlpack::rl::TrainingConfiginline
VMin()mlpack::rl::TrainingConfiginline