maphmm.h

强化学习算法（R-Learning）难得的珍贵资料

// Copyright (C) 2003 Johnny Mariethoz ([e-mail])
//                and Samy Bengio ([e-mail])
//                
// This file is part of Torch 3.
//
// All rights reserved.
// 
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions
// are met:
// 1. Redistributions of source code must retain the above copyright
//    notice, this list of conditions and the following disclaimer.
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//    derived from this software without specific prior written permission.
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#ifndef MAP_HMM_INC
#define MAP_HMM_INC

#include "HMM.h"

namespace Torch {

/** This class is a special case of a HMM that implements the
    MAP algorithm for HMM transitions probabilities.
    
    @author Samy Bengio ([e-mail])
    @author Johnny Mariethoz ([e-mail])
*/
class MAPHMM : public HMM
{
  public:
     
    /// The prior distribution used in MAP
    HMM* prior_distribution;
     
    /// The weight to give to the prior parameters during update
    real weight_on_prior;
     
    ///log(weight_on_prior)
    real log_weight_on_prior;
     
    ///log(1-weight_on_prior_
    real log_1_weight_on_prior;
    
    ///
    MAPHMM(int n_states_, Distribution **states_, real** transitions_, HMM* prior_distribution_);

		void setWeightOnPrior(real weight_on_prior_);

    /// map adaptation method for transitions probabilities
    virtual void eMUpdate();

    virtual ~MAPHMM();
    
};


}

#endif