AIToolbox::Factored::DynamicDecisionNetwork Struct Reference

This class represents a Dynamic Decision Network with factored actions. More...

#include <AIToolbox/Factored/Utils/BayesianNetwork.hpp>

Public Types
using	TransitionMatrix = std::vector< Matrix2D >

Public Member Functions
double	getTransitionProbability (const State &s, const Action &a, const State &s1) const
	This function returns the probability of a transition from one state to another with the given action. More...
double	getTransitionProbability (const PartialState &s, const PartialAction &a, const PartialState &s1) const
	This function returns the probability of a transition from one state to another. More...

Public Attributes
const DDNGraph &	graph
TransitionMatrix	transitions

Detailed Description

This class represents a Dynamic Decision Network with factored actions.

This class is able to represent a Dynamic Decision Network where the parents of each factor of the state depend on a particular subset of actions.

See also

DynamicDecisionNetworkGraph

Member Typedef Documentation

TransitionMatrix

using AIToolbox::Factored::DynamicDecisionNetwork::TransitionMatrix = std::vector<Matrix2D>

Member Function Documentation

getTransitionProbability() [1/2]

double AIToolbox::Factored::DynamicDecisionNetwork::getTransitionProbability	(	const PartialState &	s,
		const PartialAction &	a,
		const PartialState &	s1
	)		const

This function returns the probability of a transition from one state to another.

This function allows to compute probabilities for subsets of factors. The parent factors MUST contain all parents of the children!

Parameters

s	The initial factors to start with.
a	The selected action for the transition.
s1	The factors we should end up with.

Returns

The probability of the transition.

getTransitionProbability() [2/2]

double AIToolbox::Factored::DynamicDecisionNetwork::getTransitionProbability	(	const State &	s,
		const Action &	a,
		const State &	s1
	)		const

This function returns the probability of a transition from one state to another with the given action.

Parameters

s	The initial factors to start with.
a	The selected action for the transition.
s1	The factors we should end up with.

Returns

The probability of the transition.

Member Data Documentation

graph

const DDNGraph& AIToolbox::Factored::DynamicDecisionNetwork::graph

transitions

TransitionMatrix AIToolbox::Factored::DynamicDecisionNetwork::transitions

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

• include/AIToolbox/Factored/Utils/BayesianNetwork.hpp