HOG2
Public Member Functions | Private Types | Private Member Functions | Private Attributes | List of all members
HeuristicLearningMeasure< state, action, environment > Class Template Reference

#include <HeuristicLearningMeasure.h>

Collaboration diagram for HeuristicLearningMeasure< state, action, environment >:
Collaboration graph
[legend]

Public Member Functions

double MeasureDifficultly (environment *env, const state &start, const state &goal)
 
void ShowHistogram ()
 
void OpenGLDraw (environment *env) const
 

Private Types

typedef std::unordered_map< uint64_t, stateData< state >, Hash64 > EnvironmentData
 

Private Member Functions

double SumLearningRequired ()
 
void BuildExactDistances (environment *env, const state &start, const state &goal)
 
double LookupGCost (state &s)
 
double LookupHCost (const state &s)
 
void ComputeRequiredLearning (environment *env, const state &start, const state &goal)
 
void ComputeConsistencyLearning (environment *env, const state &goal)
 

Private Attributes

EnvironmentData learnData
 
TemplateAStar< state, action, environment > astarStart
 
TemplateAStar< state, action, environment > astarGoal
 
std::vector< state > queue
 

Detailed Description

template<class state, class action, class environment>
class HeuristicLearningMeasure< state, action, environment >

Definition at line 52 of file HeuristicLearningMeasure.h.

Member Typedef Documentation

◆ EnvironmentData

template<class state , class action , class environment >
typedef std::unordered_map<uint64_t, stateData<state>, Hash64 > HeuristicLearningMeasure< state, action, environment >::EnvironmentData
private

Definition at line 106 of file HeuristicLearningMeasure.h.

Member Function Documentation

◆ BuildExactDistances()

template<class state , class action , class environment >
void HeuristicLearningMeasure< state, action, environment >::BuildExactDistances ( environment *  env,
const state &  start,
const state &  goal 
)
inlineprivate

Definition at line 121 of file HeuristicLearningMeasure.h.

References HeuristicLearningMeasure< state, action, environment >::astarGoal, HeuristicLearningMeasure< state, action, environment >::astarStart, TemplateAStar< state, action, environment, openList >::InitializeSearch(), and TemplateAStar< state, action, environment, openList >::SetStopAfterGoal().

Referenced by HeuristicLearningMeasure< state, action, environment >::MeasureDifficultly().

◆ ComputeConsistencyLearning()

template<class state , class action , class environment >
void HeuristicLearningMeasure< state, action, environment >::ComputeConsistencyLearning ( environment *  env,
const state &  goal 
)
inlineprivate

Definition at line 215 of file HeuristicLearningMeasure.h.

References fgreater(), and HeuristicLearningMeasure< state, action, environment >::learnData.

Referenced by HeuristicLearningMeasure< state, action, environment >::MeasureDifficultly().

◆ ComputeRequiredLearning()

template<class state , class action , class environment >
void HeuristicLearningMeasure< state, action, environment >::ComputeRequiredLearning ( environment *  env,
const state &  start,
const state &  goal 
)
inlineprivate

Definition at line 158 of file HeuristicLearningMeasure.h.

References HeuristicLearningMeasure< state, action, environment >::astarGoal, HeuristicLearningMeasure< state, action, environment >::astarStart, fequal(), HeuristicLearningMeasure< state, action, environment >::learnData, HeuristicLearningMeasure< state, action, environment >::LookupGCost(), and HeuristicLearningMeasure< state, action, environment >::LookupHCost().

Referenced by HeuristicLearningMeasure< state, action, environment >::MeasureDifficultly().

◆ LookupGCost()

template<class state , class action , class environment >
double HeuristicLearningMeasure< state, action, environment >::LookupGCost ( state &  s)
inlineprivate

Definition at line 134 of file HeuristicLearningMeasure.h.

References HeuristicLearningMeasure< state, action, environment >::astarStart, TemplateAStar< state, action, environment, openList >::DoSingleSearchStep(), and TemplateAStar< state, action, environment, openList >::GetClosedListGCost().

Referenced by HeuristicLearningMeasure< state, action, environment >::ComputeRequiredLearning().

◆ LookupHCost()

template<class state , class action , class environment >
double HeuristicLearningMeasure< state, action, environment >::LookupHCost ( const state &  s)
inlineprivate

Definition at line 146 of file HeuristicLearningMeasure.h.

References HeuristicLearningMeasure< state, action, environment >::astarGoal, TemplateAStar< state, action, environment, openList >::DoSingleSearchStep(), and TemplateAStar< state, action, environment, openList >::GetClosedListGCost().

Referenced by HeuristicLearningMeasure< state, action, environment >::ComputeRequiredLearning().

◆ MeasureDifficultly()

template<class state , class action , class environment >
double HeuristicLearningMeasure< state, action, environment >::MeasureDifficultly ( environment *  env,
const state &  start,
const state &  goal 
)
inline

Definition at line 54 of file HeuristicLearningMeasure.h.

References HeuristicLearningMeasure< state, action, environment >::BuildExactDistances(), HeuristicLearningMeasure< state, action, environment >::ComputeConsistencyLearning(), HeuristicLearningMeasure< state, action, environment >::ComputeRequiredLearning(), HeuristicLearningMeasure< state, action, environment >::learnData, HeuristicLearningMeasure< state, action, environment >::queue, and HeuristicLearningMeasure< state, action, environment >::SumLearningRequired().

◆ OpenGLDraw()

template<class state , class action , class environment >
void HeuristicLearningMeasure< state, action, environment >::OpenGLDraw ( environment *  env) const
inline

Definition at line 83 of file HeuristicLearningMeasure.h.

References HeuristicLearningMeasure< state, action, environment >::learnData.

◆ ShowHistogram()

template<class state , class action , class environment >
void HeuristicLearningMeasure< state, action, environment >::ShowHistogram ( )
inline

Definition at line 67 of file HeuristicLearningMeasure.h.

References HeuristicLearningMeasure< state, action, environment >::learnData.

◆ SumLearningRequired()

template<class state , class action , class environment >
double HeuristicLearningMeasure< state, action, environment >::SumLearningRequired ( )
inlineprivate

Definition at line 108 of file HeuristicLearningMeasure.h.

References HeuristicLearningMeasure< state, action, environment >::learnData.

Referenced by HeuristicLearningMeasure< state, action, environment >::MeasureDifficultly().

Member Data Documentation

◆ astarGoal

template<class state , class action , class environment >
TemplateAStar<state, action, environment> HeuristicLearningMeasure< state, action, environment >::astarGoal
private

Definition at line 307 of file HeuristicLearningMeasure.h.

Referenced by HeuristicLearningMeasure< state, action, environment >::BuildExactDistances(), HeuristicLearningMeasure< state, action, environment >::ComputeRequiredLearning(), and HeuristicLearningMeasure< state, action, environment >::LookupHCost().

◆ astarStart

template<class state , class action , class environment >
TemplateAStar<state, action, environment> HeuristicLearningMeasure< state, action, environment >::astarStart
private

Definition at line 306 of file HeuristicLearningMeasure.h.

Referenced by HeuristicLearningMeasure< state, action, environment >::BuildExactDistances(), HeuristicLearningMeasure< state, action, environment >::ComputeRequiredLearning(), and HeuristicLearningMeasure< state, action, environment >::LookupGCost().

◆ learnData

template<class state , class action , class environment >
EnvironmentData HeuristicLearningMeasure< state, action, environment >::learnData
private

Definition at line 305 of file HeuristicLearningMeasure.h.

Referenced by HeuristicLearningMeasure< state, action, environment >::ComputeConsistencyLearning(), HeuristicLearningMeasure< state, action, environment >::ComputeRequiredLearning(), HeuristicLearningMeasure< state, action, environment >::MeasureDifficultly(), HeuristicLearningMeasure< state, action, environment >::OpenGLDraw(), HeuristicLearningMeasure< state, action, environment >::ShowHistogram(), and HeuristicLearningMeasure< state, action, environment >::SumLearningRequired().

◆ queue

template<class state , class action , class environment >
std::vector<state> HeuristicLearningMeasure< state, action, environment >::queue
private

Definition at line 308 of file HeuristicLearningMeasure.h.

Referenced by HeuristicLearningMeasure< state, action, environment >::MeasureDifficultly().

The documentation for this class was generated from the following file:
Generated by   doxygen 1.8.17