E_GreedyDecider.cpp

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/***************************************************************************
 *  Copyright (C) 2005 by Christophe GONZALES and Pierre-Henri WUILLEMIN   *
 *  {prenom.nom}_at_lip6.fr                                                *
 *                                                                         *
 *  This program is free software; you can redistribute it and/or modify   *
 *  it under the terms of the GNU General Public License as published by   *
 *  the Free Software Foundation; either version 2 of the License, or      *
 *  (at your option) any later version.                                    *
 *                                                                         *
 *  This program is distributed in the hope that it will be useful,        *
 *  but WITHOUT ANY WARRANTY; without even the implied warranty of         *
 *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the           *
 *  GNU General Public License for more details.                           *
 *                                                                         *
 *  You should have received a copy of the GNU General Public License      *
 *  along with this program; if not, write to the                          *
 *  Free Software Foundation, Inc.,                                        *
 *  59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.               *
 ***************************************************************************/
// =========================================================================
#include <cstdlib>
#include <random>
// =========================================================================
#include <agrum/FMDP/decision/E_GreedyDecider.h>
// =========================================================================

namespace gum {

  // ==========================================================================
  // Constructor & destructor.
  // ==========================================================================

  // ###################################################################
  // ###################################################################
  E_GreedyDecider::E_GreedyDecider() {
    GUM_CONSTRUCTOR(E_GreedyDecider);

    __sss = 1.0;
  }


  // ###################################################################
  // ###################################################################
  E_GreedyDecider::~E_GreedyDecider() { GUM_DESTRUCTOR(E_GreedyDecider); }


  // ==========================================================================
  // Initialization
  // ==========================================================================

  // ###################################################################
  // ###################################################################
  void E_GreedyDecider::initialize(const FMDP< double >* fmdp) {
    IDecisionStrategy::initialize(fmdp);
    for (auto varIter = fmdp->beginVariables(); varIter != fmdp->endVariables();
         ++varIter)
      __sss *= (double)(*varIter)->domainSize();
  }


  // ==========================================================================
  // Incremental methods
  // ==========================================================================

  // ###################################################################
  /*
   * Performs a feedback on the last transition.
   * In extenso, learn from the transition.
   * @param reachedState : the state reached after the transition
   */
  // ###################################################################
  void E_GreedyDecider::checkState(const Instantiation& reachedState,
                                   Idx                  actionId) {
    if (__statecpt.nbVisitedStates() == 0)
      __statecpt.reset(reachedState);
    else if (!__statecpt.checkState(reachedState))
      __statecpt.addState(reachedState);
  }

  // ###################################################################
  /*
   * @param the state in which we currently are
   * @return a set containing every optimal actions on that state
   */
  // ###################################################################
  ActionSet E_GreedyDecider::stateOptimalPolicy(const Instantiation& curState) {
    double explo = (double)std::rand() / (double)RAND_MAX;
    double temp =
       std::pow((__sss - (double)__statecpt.nbVisitedStates()) / __sss, 3.0);
    double exploThreshold = temp < 0.1 ? 0.1 : temp;

    //      std::cout << exploThreshold << std::endl;

    ActionSet optimalSet = IDecisionStrategy::stateOptimalPolicy(curState);
    if (explo > exploThreshold) {
      //        std::cout << "Exploit : " << optimalSet << std::endl;
      return optimalSet;
    }

    if (_allActions.size() > optimalSet.size()) {
      ActionSet ret(_allActions);
      ret -= optimalSet;
      //        std::cout << "Explore : " << ret << std::endl;
      return ret;
    }

    //      std::cout << "Explore : " << _allActions << std::endl;
    return _allActions;
  }

}   // End of namespace gum