Planner Class Reference

#include <core.hh>

List of all members.

Public Member Functions
virtual int	getBestAction (const std::vector< float > &s)=0
virtual void	planOnNewModel ()=0
std::vector< float >::iterator	random_max_element (std::vector< float >::iterator start, std::vector< float >::iterator end)
virtual void	savePolicy (const char *filename)
virtual void	setFirst ()
virtual void	setModel (MDPModel *model)=0
virtual void	setSeeding (bool seeding)
virtual bool	updateModelWithExperience (const std::vector< float > &last, int act, const std::vector< float > &curr, float reward, bool terminal)=0
virtual	~Planner ()
Public Attributes
Random	rng

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Detailed Description

Interface for planners

Definition at line 354 of file core.hh.

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Constructor & Destructor Documentation

virtual Planner::~Planner

(

)

[inline, virtual]

Definition at line 416 of file core.hh.

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Member Function Documentation

virtual int Planner::getBestAction

(

const std::vector< float > &

s

)

[pure virtual]

Return the best action for a given state.

virtual void Planner::planOnNewModel

(

)

[pure virtual]

Plan a new policy suing the current model.

std::vector<float>::iterator Planner::random_max_element	(	std::vector< float >::iterator	start,
		std::vector< float >::iterator	end
	)		[inline]

A method to return at random one of the maximum values in the vector. Such that when more than one actions are optimal, we select one of them at random.

Definition at line 384 of file core.hh.

virtual void Planner::savePolicy

(

const char *

filename

)

[inline, virtual]

Save the policy to a file.

Definition at line 372 of file core.hh.

virtual void Planner::setFirst

(

)

[inline, virtual]

Set if this is the first experience of the agent.

Definition at line 378 of file core.hh.

virtual void Planner::setModel

(

MDPModel *

model

)

[pure virtual]

Give the planner the model being used with the agent

virtual void Planner::setSeeding

(

bool

seeding

)

[inline, virtual]

Set whether the next experiences are seeds or actual experiences from the agent.

Definition at line 375 of file core.hh.

virtual bool Planner::updateModelWithExperience	(	const std::vector< float > &	last,
		int	act,
		const std::vector< float > &	curr,
		float	reward,
		bool	terminal
	)		[pure virtual]

Update the given model with an experience <s,a,s',r>.

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Member Data Documentation

Random Planner::rng

Definition at line 416 of file core.hh.

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

• core.hh