Reinforcement Learning Toolbox 2.0
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Main Page     Class Hierarchy   Compound List   File List   Compound Members   File Members

CAdvantageLearner Class Reference

#include <cadvantagelearning.h>

Inheritance diagram for CAdvantageLearner:

CTDResidualLearner CTDGradientLearner CTDLearner CSemiMDPRewardListener CErrorSender CSemiMDPListener CParameterObject CParameters List of all members.


Public Member Functions

  CAdvantageLearner (CRewardFunction *rewardFunction, CGradientQFunction *qfunction, double dt, CAbstractBetaCalculator *betaCalc)
  ~CAdvantageLearner ()


Protected Member Functions

virtual double  getTemporalDifference (CStateCollection *oldState, CAction *action, double reward, CStateCollection *nextState)
  calculates the temporal difference

virtual void  addETraces (CStateCollection *oldState, CStateCollection *newState, CAction *action, double td=0.0)


Protected Attributes

CActionDataSet actionDataSet2

Constructor & Destructor Documentation

CAdvantageLearner::CAdvantageLearner CRewardFunction rewardFunction,
CGradientQFunction qfunction,
double  dt,
CAbstractBetaCalculator betaCalc
 
CAdvantageLearner::~CAdvantageLearner  ) 
 

Member Function Documentation

virtual void CAdvantageLearner::addETraces CStateCollection oldState,
CStateCollection newState,
CAction action,
double  td = 0.0
[protected, virtual]
 

Reimplemented from CTDResidualLearner.

virtual double CAdvantageLearner::getTemporalDifference CStateCollection oldState,
CAction action,
double  reward,
CStateCollection nextState
[protected, virtual]
 

calculates the temporal difference

Reimplemented from CTDLearner.


Member Data Documentation

CActionDataSet* CAdvantageLearner::actionDataSet2 [protected]
 

The documentation for this class was generated from the following file: