cadvantagelearning.h

强化学习算法（R-Learning）难得的珍贵资料

// Copyright (C) 2003
// Gerhard Neumann ([e-mail])

//                
// This file is part of RL Toolbox.
// http://www.igi.tugraz.at/ril_toolbox
//
// All rights reserved.
// 
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions
// are met:
// 1. Redistributions of source code must retain the above copyright
//    notice, this list of conditions and the following disclaimer.
// 2. Redistributions in binary form must reproduce the above copyright
//    notice, this list of conditions and the following disclaimer in the
//    documentation and/or other materials provided with the distribution.
// 3. The name of the author may not be used to endorse or promote products
//    derived from this software without specific prior written permission.
// 
// THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR
// IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
// OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
// IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT,
// INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT
// NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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#ifndef CADVANTAGELEARNING_H
#define CADVANTAGELEARNING_H

#include "ctdlearner.h"
#include "cvfunctionlearner.h"
#include "ril_debug.h"

class CAdvantageUpdating : public CTDLearner
{
protected:
	//CVFunctionLearner *vFunctionLearner;
	CAbstractVFunction *vFunction;
	CAbstractVETraces *vETraces;

	virtual rlt_real getTemporalDifference(CStateCollection *oldState, CAction *action, rlt_real reward, CStateCollection *nextState);

	virtual void addETraces(CStateCollection *oldState, CStateCollection *newState, CAction *action);
	virtual void learnStep(CStateCollection *oldState, CAction *action, rlt_real reward, CStateCollection *nextState);
public:
	//CAdvantageUpdating(CRewardFunction *rewardFunction, CAbstractQFunction *qfunction, CVFunctionLearner *vLearner, rlt_real dt);		
	CAdvantageUpdating(CRewardFunction *rewardFunction, CAbstractQFunction *qfunction, CAbstractVFunction *vFunction, rlt_real dt);		
	virtual ~CAdvantageUpdating();		

};

class CAdvantageLearner : public CTDResidualLearner
{

protected:
	CActionDataSet *actionDataSet2;

	virtual rlt_real getTemporalDifference(CStateCollection *oldState, CAction *action, rlt_real reward, CStateCollection *nextState);

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

public:

	CAdvantageLearner(CRewardFunction *rewardFunction, CGradientQFunction *qfunction, rlt_real dt, CAbstractBetaCalculator *betaCalc);		
	~CAdvantageLearner();
};

#endif