Reinforcement Learning Toolbox 2.0 last updated:

General Documentation Manual Tutorial Class Reference Master Thesis Examples Related Papers Downloads Links News mailto:webmaster Main Page     Class Hierarchy   Compound List   File List   Compound Members   File Members ctheoreticalmodel.h File Reference #include "clearndataobject.h" #include "caction.h" #include "cbaseobjects.h" #include "cagentlistener.h" #include "cutility.h" #include <map> #include <list> Go to the source code of this file. Classes class   CTransition   Transition for the Markov Case. More... class   CSemiMDPTransition   Transition for the semiMDP case. More... class   CTransitionList   Class for storing Transitions. More... class   CStateActionTransitions   Class for storing the Backward and Forward Transitions for a given state action pair. More... class   CAbstractFeatureStochasticModel   Interface for all model classes. More... class   CFeatureStochasticModel   Class for loading and storing a fixed Model. More... class   CStochasticModelAction class   CAbstractFeatureStochasticEstimatedModel   Base class for all estimated models. More... class   CDiscreteStochasticEstimatedModel   Estimated Model for Discrete States. More... class   CFeatureStochasticEstimatedModel   Estimated Model for feature States. More... Defines #define  TRANSITION   1 #define  SEMIMDPTRANSITION   2 Define Documentation #define SEMIMDPTRANSITION   2 #define TRANSITION   1