E_GreedyDecider.cpp

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 *       - Christophe GONZALES(_at_AMU)                                     *
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 *       - Pierre-Henri WUILLEMIN(_at_LIP6)                                 *
 *       - Christophe GONZALES(_at_AMU)                                     *
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// =========================================================================
#include <cstdlib>
// =========================================================================
#include <agrum/base/core/utils_random.h>
#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          = randomProba();
    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