rl_stat_container Class Reference

#include <reinforcement_learning.h>

Inherits soar_module::stat_container.

Public Member Functions
	rl_stat_container (agent *new_agent)
Public Member Functions inherited from soar_module::stat_container
void	reset ()
	stat_container (agent *new_agent)
Public Member Functions inherited from soar_module::object_container< stat >
void	for_each (accumulator< stat * > &f)
stat *	get (const char *name)
	object_container (agent *new_agent)
virtual	~object_container ()

Data Fields
soar_module::decimal_stat *	global_reward
soar_module::decimal_stat *	total_reward
soar_module::decimal_stat *	update_error

Additional Inherited Members
Protected Member Functions inherited from soar_module::object_container< stat >
void	add (stat *new_object)
Protected Attributes inherited from soar_module::object_container< stat >
agent *	my_agent
std::map< std::string, stat * > *	objects

Detailed Description

Definition at line 153 of file reinforcement_learning.h.

Constructor & Destructor Documentation

rl_stat_container::rl_stat_container

(

agent *

new_agent

)

Definition at line 204 of file reinforcement_learning.cpp.

References soar_module::object_container< stat >::add(), global_reward, total_reward, and update_error.

                                                      : stat_container( new_agent )
{
 // update-error
 update_error = new soar_module::decimal_stat( "update-error", 0, new soar_module::f_predicate<double>() );
 add( update_error );

 // total-reward
 total_reward = new soar_module::decimal_stat( "total-reward", 0, new soar_module::f_predicate<double>() );
 add( total_reward );

 // global-reward
 global_reward = new soar_module::decimal_stat( "global-reward", 0, new soar_module::f_predicate<double>() );
 add( global_reward );
};

Field Documentation

soar_module::decimal_stat* rl_stat_container::global_reward

Definition at line 158 of file reinforcement_learning.h.

Referenced by rl_stat_container(), and rl_tabulate_reward_value_for_goal().

soar_module::decimal_stat* rl_stat_container::total_reward

Definition at line 157 of file reinforcement_learning.h.

Referenced by rl_stat_container(), and rl_tabulate_reward_value_for_goal().

soar_module::decimal_stat* rl_stat_container::update_error

Definition at line 156 of file reinforcement_learning.h.

Referenced by rl_stat_container().

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The documentation for this class was generated from the following files:

• src/reinforcement_learning.h
• src/reinforcement_learning.cpp