mcts::IBackpropagationStrategy Class Reference

A backpropagation strategy is used in each node. when a terminal node is simulated, its value is propagated back through every node on the path. every node saves that value according to the implementation of a specific on_backpropagate function. More...

#include <ibackpropagation_strategy.hpp>

Inheritance diagram for mcts::IBackpropagationStrategy:

Public Member Functions
virtual void	on_backpropagate (const double &value)=0
	saves an value according to some metric. More...
virtual double	ev () const =0
	gets the current expected value More...
virtual double	std_deviation () const =0
	gets the current standard deviation More...
virtual double	variance () const =0
	gets the current variance More...
virtual int	nb_samples () const =0
	gets the number of samples that are saved in the strat. More...
virtual IBackpropagationStrategy *	create ()=0
	creates a new object of the same type and with the same constructor as the current object. More...

Detailed Description

A backpropagation strategy is used in each node. when a terminal node is simulated, its value is propagated back through every node on the path. every node saves that value according to the implementation of a specific on_backpropagate function.

Definition at line 13 of file ibackpropagation_strategy.hpp.

Member Function Documentation

create()

virtual IBackpropagationStrategy* mcts::IBackpropagationStrategy::create ( )

pure virtual

creates a new object of the same type and with the same constructor as the current object.

Returns

pointer to a new backprop strat.

Implemented in mcts::AvgBackpropagationStrategy.

ev()

virtual double mcts::IBackpropagationStrategy::ev ( ) const

pure virtual

gets the current expected value

Returns

current ev

Implemented in mcts::AvgBackpropagationStrategy.

Referenced by mcts::InnerNode< Context, Config >::ev().

nb_samples()

virtual int mcts::IBackpropagationStrategy::nb_samples ( ) const

pure virtual

gets the number of samples that are saved in the strat.

Returns

count of backpropagated values

Implemented in mcts::AvgBackpropagationStrategy.

Referenced by mcts::InnerNode< Context, Config >::nb_samples().

on_backpropagate()

virtual void mcts::IBackpropagationStrategy::on_backpropagate ( const double &  value )

pure virtual

saves an value according to some metric.

Parameters

value

to store

Implemented in mcts::AvgBackpropagationStrategy.

Referenced by mcts::InnerNode< Context, Config >::backpropagate().

std_deviation()

virtual double mcts::IBackpropagationStrategy::std_deviation ( ) const

pure virtual

gets the current standard deviation

Returns

current std dev

Implemented in mcts::AvgBackpropagationStrategy.

Referenced by mcts::InnerNode< Context, Config >::std_dev().

variance()

virtual double mcts::IBackpropagationStrategy::variance ( ) const

pure virtual

gets the current variance

Returns

current var

Implemented in mcts::AvgBackpropagationStrategy.

Referenced by mcts::InnerNode< Context, Config >::variance().

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

• include/mcts/ibackpropagation_strategy.hpp