Reinforcement Learning Toolbox

00001 // Copyright (C) 2003
00002 // Gerhard Neumann (gneumann@gmx.net)
00003 // Stephan Neumann (sneumann@gmx.net) 
00004 //                
00005 // This file is part of RL Toolbox.
00006 // http://www.igi.tugraz.at/ril_toolbox
00007 //
00008 // All rights reserved.
00009 // 
00010 // Redistribution and use in source and binary forms, with or without
00011 // modification, are permitted provided that the following conditions
00012 // are met:
00013 // 1. Redistributions of source code must retain the above copyright
00014 //    notice, this list of conditions and the following disclaimer.
00015 // 2. Redistributions in binary form must reproduce the above copyright
00016 //    notice, this list of conditions and the following disclaimer in the
00017 //    documentation and/or other materials provided with the distribution.
00018 // 3. The name of the author may not be used to endorse or promote products
00019 //    derived from this software without specific prior written permission.
00020 // 
00021 // THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR
00022 // IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
00023 // OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
00024 // IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT,
00025 // INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT
00026 // NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
00027 // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
00028 // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
00029 // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF
00030 // THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
00031 
00032 #ifndef C_MODELPROPERTIES_H
00033 #define C_MODELPROPERTIES_H
00034 
00035 
00036 #define FEATURESTATE 1
00037 #define DISCRETESTATE 2
00038 #define STATEDERIVATIONX 4
00039 #define FEATURESTATEDERIVATIONX 5
00040 
00042 
00060 class CStateProperties
00061 {
00062 protected:
00064         unsigned int continuousStates;
00066         unsigned int discreteStates;
00067 
00069         int type;
00070 
00072         unsigned int *discreteStateSize;
00073 
00075         double *minValues;
00077         double *maxValues;
00078 
00079         bool *isPeriodic;
00080 
00081         bool bInit;
00082 
00083         CStateProperties();
00084 
00085         virtual void initProperties(unsigned int continuousStates, unsigned int discreteStates,int type = 0);
00086 public:
00087 
00089 
00091         CStateProperties(unsigned int continuousStates, unsigned int discreteStates,int type = 0);
00093         CStateProperties(CStateProperties *properties);
00094         virtual ~CStateProperties();
00095 
00096         int getType();
00097         bool isType(int type);
00098 
00100 
00104         void addType(int Type);
00105 
00107         void setDiscreteStateSize(unsigned int dim, unsigned int size);
00109         virtual unsigned int getDiscreteStateSize(unsigned int dim);
00110 
00112         unsigned int getNumContinuousStates();
00114         unsigned int getNumDiscreteStates();
00115 
00117         virtual unsigned int getDiscreteStateSize();
00118 
00120         void setMinValue(unsigned int dim, double value);
00122         double getMinValue(unsigned int dim);
00123 
00125         void setMaxValue(unsigned int dim, double value);
00127         double getMaxValue(unsigned int dim);
00128 
00129         void setPeriodicity(unsigned int index, bool isPeriodic);
00130         bool getPeriodicity(unsigned int index);
00131 
00132         double getMirroredStateValue(unsigned int index, double value);
00133 //      double getSingleStateDifference(int index, double difference);
00134 
00136         bool equals(CStateProperties *object);
00137 };
00138 
00139 
00140 
00141 #endif
00142
cstateproperties.h
