<agrum/FMDP/decision/statisticalLazyDecider.h> More...

#include <statisticalLazyDecider.h>

Inheritance diagram for gum::StatisticalLazyDecider:

Collaboration diagram for gum::StatisticalLazyDecider:

Public Member Functions
Constructor & destructor.
	StatisticalLazyDecider ()
	Constructor.
	~StatisticalLazyDecider ()
	Destructor.
Initialization
virtual void	initialize (const FMDP< double > *fmdp)
	Initializes the learner.

Incremental methods
StatesCounter	_counter_
bool	_initialized_
void	checkState (const Instantiation &newState, Idx actionId=0)

Incremental methods
void	setOptimalStrategy (MultiDimFunctionGraph< ActionSet, SetTerminalNodePolicy > *optPol)
virtual ActionSet	stateOptimalPolicy (const Instantiation &curState)
const MultiDimFunctionGraph< ActionSet, SetTerminalNodePolicy > *	optPol_ {nullptr}
ActionSet	allActions_

Detailed Description

Class to make no decision at all yet performing statistic on visited states. Actions are randomly chosen among all actions available

Does nothing more for decison making But count how many times every visited states have been visited

Definition at line 74 of file statisticalLazyDecider.h.

Constructor & Destructor Documentation

◆ StatisticalLazyDecider()

gum::StatisticalLazyDecider::StatisticalLazyDecider ( )

inline

Constructor.

Definition at line 84 of file statisticalLazyDecider.h.

                             : _counter_(), _initialized_(false) {
      GUM_CONSTRUCTOR(StatisticalLazyDecider);
    }

References StatisticalLazyDecider(), _counter_, and _initialized_.

Referenced by StatisticalLazyDecider(), and ~StatisticalLazyDecider().

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◆ ~StatisticalLazyDecider()

gum::StatisticalLazyDecider::~StatisticalLazyDecider ( )

inline

Destructor.

Definition at line 91 of file statisticalLazyDecider.h.

                              {
      GUM_DESTRUCTOR(StatisticalLazyDecider);
      ;
    }

References StatisticalLazyDecider().

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Member Function Documentation

◆ checkState()

void gum::StatisticalLazyDecider::checkState	(	const Instantiation &	newState,
		Idx	actionId = 0 )

inlinevirtual

Implements gum::IDecisionStrategy.

Definition at line 105 of file statisticalLazyDecider.h.

                                                                   {
      if (!_initialized_) {
        _counter_.reset(newState);
        _initialized_ = true;
      } else _counter_.incState(newState);
    }

References _counter_, and _initialized_.

◆ 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 93 of file IDecisionStrategy.h.

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

References allActions_, gum::FMDP< GUM_SCALAR >::beginActions(), gum::FMDP< GUM_SCALAR >::endActions(), and optPol_.

Referenced by gum::AdaptiveRMaxPlaner::initialize(), and gum::E_GreedyDecider::initialize().

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◆ setOptimalStrategy()

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

inlineinherited

Definition at line 111 of file IDecisionStrategy.h.

                                                                                               {
      optPol_ = optPol;
    }

References optPol_.

◆ stateOptimalPolicy()

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

inlinevirtualinherited

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

Definition at line 115 of file IDecisionStrategy.h.

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

References allActions_, and optPol_.

Referenced by gum::E_GreedyDecider::stateOptimalPolicy().

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