ActionType typedef (defined in mlpack::rl::NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType >) | mlpack::rl::NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > | |
Initialize(NetworkType &learningNetwork) | mlpack::rl::NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > | inline |
NStepQLearningWorker(const UpdaterType &updater, const EnvironmentType &environment, const TrainingConfig &config, bool deterministic) | mlpack::rl::NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > | inline |
NStepQLearningWorker(const NStepQLearningWorker &other) | mlpack::rl::NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > | inline |
NStepQLearningWorker(NStepQLearningWorker &&other) | mlpack::rl::NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > | inline |
operator=(const NStepQLearningWorker &other) | mlpack::rl::NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > | inline |
operator=(NStepQLearningWorker &&other) | mlpack::rl::NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > | inline |
StateType typedef (defined in mlpack::rl::NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType >) | mlpack::rl::NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > | |
Step(NetworkType &learningNetwork, NetworkType &targetNetwork, size_t &totalSteps, PolicyType &policy, double &totalReward) | mlpack::rl::NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > | inline |
TransitionType typedef (defined in mlpack::rl::NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType >) | mlpack::rl::NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > | |
~NStepQLearningWorker() | mlpack::rl::NStepQLearningWorker< EnvironmentType, NetworkType, UpdaterType, PolicyType > | inline |