Class to make decision randomlyDoes nothing more than the interface for DecisionStrategy does. More...

#include <agrum/FMDP/SDyna/lazyDecider.h>

Inheritance diagram for gum::LazyDecider:

Collaboration diagram for gum::LazyDecider:

Public Member Functions
Constructor & destructor.
	LazyDecider ()
	Constructor. More...

	~LazyDecider ()
	Destructor. More...

Incremental methods
void	checkState (const Instantiation &newState, Idx actionId)

Initialization
virtual void	initialize (const FMDP< double > *fmdp)
	Initializes the learner. More...

Incremental methods
void	setOptimalStrategy (const MultiDimFunctionGraph< ActionSet, SetTerminalNodePolicy > *optPol)

virtual ActionSet	stateOptimalPolicy (const Instantiation &curState)

const MultiDimFunctionGraph< ActionSet, SetTerminalNodePolicy > *	optPol_

ActionSet	allActions_

Detailed Description

Class to make decision randomly

Does nothing more than the interface for DecisionStrategy does.

Definition at line 49 of file lazyDecider.h.

Constructor & Destructor Documentation

◆ LazyDecider()

gum::LazyDecider::LazyDecider ( )

inline

Constructor.

Definition at line 58 of file lazyDecider.h.

58 {}

◆ ~LazyDecider()

gum::LazyDecider::~LazyDecider ( )

inline

Destructor.

Definition at line 63 of file lazyDecider.h.

63 {}

Member Function Documentation

◆ checkState()

void gum::LazyDecider::checkState	(	const Instantiation &	newState,
		Idx	actionId
	)

inlinevirtual

Implements gum::IDecisionStrategy.

Definition at line 73 of file lazyDecider.h.

73 {}

◆ initialize()

virtual void gum::IDecisionStrategy::initialize ( const FMDP< double > * fmdp )

inlinevirtualinherited

Initializes the learner.

Reimplemented in gum::AdaptiveRMaxPlaner, and gum::E_GreedyDecider.

Definition at line 72 of file IDecisionStrategy.h.

                                                         {
       optPol_ = nullptr;
       if (allActions_.size() == 0)
         for (auto actionIter = fmdp->beginActions(); actionIter != fmdp->endActions(); ++actionIter)
           allActions_ += *actionIter;
     }

◆ setOptimalStrategy()

void gum::IDecisionStrategy::setOptimalStrategy ( const MultiDimFunctionGraph< ActionSet, SetTerminalNodePolicy > * optPol )

inlineinherited

Definition at line 89 of file IDecisionStrategy.h.

                                                                                                    {
       optPol_ = const_cast< MultiDimFunctionGraph< ActionSet, SetTerminalNodePolicy >* >(optPol);
     }

◆ stateOptimalPolicy()

virtual ActionSet gum::IDecisionStrategy::stateOptimalPolicy ( const Instantiation & curState )

inlinevirtualinherited

Reimplemented in gum::E_GreedyDecider, and gum::RandomDecider.

Definition at line 93 of file IDecisionStrategy.h.

                                                                         {
       return (optPol_ && optPol_->realSize() != 0) ? optPol_->get(curState) : allActions_;
     }

Member Data Documentation

◆ allActions_

ActionSet gum::IDecisionStrategy::allActions_

protectedinherited

Definition at line 102 of file IDecisionStrategy.h.

◆ optPol_

const MultiDimFunctionGraph< ActionSet, SetTerminalNodePolicy >* gum::IDecisionStrategy::optPol_