| actionDimensions | rl::WireFitQLearn | |
| adjustExploration(double uncertainty) | rl::FidoControlSystem | protected |
| applyReinforcementToLastAction(double reward, State newState) | rl::FidoControlSystem | virtual |
| baseOfDimensions | rl::WireFitQLearn | |
| bestAction(State state) | rl::WireFitQLearn | protected |
| chooseBestAction(State currentState) | rl::WireFitQLearn | virtual |
| chooseBoltzmanAction(State currentState, double explorationConstant) | rl::WireFitQLearn | virtual |
| chooseBoltzmanActionDynamic(State state) | rl::FidoControlSystem | |
| controlPointsGDErrorTarget | rl::WireFitQLearn | |
| controlPointsGDLearningRate | rl::WireFitQLearn | |
| controlPointsGDMaxIterations | rl::WireFitQLearn | |
| devaluationFactor | rl::WireFitQLearn | |
| explorationLevel | rl::FidoControlSystem | |
| FidoControlSystem(int stateDimensions, Action minAction, Action maxAction, int baseOfDimensions) | rl::FidoControlSystem | |
| getError(std::vector< double > input, std::vector< double > correctOutput) | rl::FidoControlSystem | protected |
| getQValue(double reward, const State &oldState, const State &newState, const Action &action, const std::vector< Wire > &controlWires) | rl::WireFitQLearn | protected |
| getRawOutput(std::vector< Wire > wires) | rl::WireFitQLearn | protected |
| getSetOfWires(const State &state, int baseOfDimensions) | rl::WireFitQLearn | protected |
| getWires(State state) | rl::WireFitQLearn | protected |
| highestReward(State state) | rl::WireFitQLearn | protected |
| histories | rl::FidoControlSystem | protected |
| initialExploration | rl::FidoControlSystem | |
| interpolator | rl::WireFitQLearn | |
| lastAction | rl::WireFitQLearn | |
| lastState | rl::WireFitQLearn | |
| lastUncertainty | rl::FidoControlSystem | |
| learningRate | rl::WireFitQLearn | |
| maxAction | rl::WireFitQLearn | |
| minAction | rl::WireFitQLearn | |
| modelNet | rl::WireFitQLearn | |
| network | rl::WireFitQLearn | |
| newControlWires(const Wire &correctWire, std::vector< Wire > controlWires) | rl::WireFitQLearn | protected |
| newControlWiresForHistory(History history) | rl::FidoControlSystem | protected |
| numberOfWires | rl::WireFitQLearn | |
| reset() | rl::FidoControlSystem | virtual |
| samplesOfHistory | rl::FidoControlSystem | |
| selectHistories() | rl::FidoControlSystem | protected |
| store(std::ofstream *output) | rl::WireFitQLearn | |
| trainer | rl::WireFitQLearn | |
| trainOnHistories(std::vector< FidoControlSystem::History > selectedHistories) | rl::FidoControlSystem | protected |
| WireFitQLearn(unsigned int stateDimensions, unsigned int actionDimensions_, unsigned int numHiddenLayers, unsigned int numNeuronsPerHiddenLayer, unsigned int numberOfWires_, Action minAction_, Action maxAction_, unsigned int baseOfDimensions_, Interpolator *interpolator_, net::Trainer *trainer_, double learningRate_, double devaluationFactor_) | rl::WireFitQLearn | |
| WireFitQLearn() | rl::WireFitQLearn | |
| WireFitQLearn(std::ifstream *input) | rl::WireFitQLearn | |
1.8.6
