| ActionType typedef | mlpack::rl::PrioritizedReplay< EnvironmentType > | |
| BetaAnneal() | mlpack::rl::PrioritizedReplay< EnvironmentType > | inline |
| GetNStepInfo(double &reward, StateType &nextState, bool &isEnd, const double &discount) | mlpack::rl::PrioritizedReplay< EnvironmentType > | inline |
| NSteps() const | mlpack::rl::PrioritizedReplay< EnvironmentType > | inline |
| PrioritizedReplay() | mlpack::rl::PrioritizedReplay< EnvironmentType > | inline |
| PrioritizedReplay(const size_t batchSize, const size_t capacity, const double alpha, const size_t nSteps=1, const size_t dimension=StateType::dimension) | mlpack::rl::PrioritizedReplay< EnvironmentType > | inline |
| Sample(arma::mat &sampledStates, std::vector< ActionType > &sampledActions, arma::rowvec &sampledRewards, arma::mat &sampledNextStates, arma::irowvec &isTerminal) | mlpack::rl::PrioritizedReplay< EnvironmentType > | inline |
| SampleProportional() | mlpack::rl::PrioritizedReplay< EnvironmentType > | inline |
| Size() | mlpack::rl::PrioritizedReplay< EnvironmentType > | inline |
| StateType typedef | mlpack::rl::PrioritizedReplay< EnvironmentType > | |
| Store(StateType state, ActionType action, double reward, StateType nextState, bool isEnd, const double &discount) | mlpack::rl::PrioritizedReplay< EnvironmentType > | inline |
| Update(arma::mat target, std::vector< ActionType > sampledActions, arma::mat nextActionValues, arma::mat &gradients) | mlpack::rl::PrioritizedReplay< EnvironmentType > | inline |
| UpdatePriorities(arma::ucolvec &indices, arma::colvec &priorities) | mlpack::rl::PrioritizedReplay< EnvironmentType > | inline |
