get

PURPOSE

SYNOPSIS

DESCRIPTION

   Get for GBeliefs.

   get function for Gaussian-based beliefs.

   See also GBelief.

CROSS-REFERENCE INFORMATION

• get Get for GBeliefs.
• get Get function for the GMixture object.
• get Gaussian object get function.
• get Get function for CS_CO_CA_POMDPs.
• get Get function for CS_CO_DA_POMDPs.
• get Get function for CS_CO_POMDPs.
• get Get function for CS_DO_CA_POMDPs.
• get Get function for CS_DO_DA_POMDPs.
• get Get function for CS_POMDPs.
• get Get function for DS_CO_CA_POMDPs.
• get Get function for DS_CO_DA_POMDPs.
• get Get function for DS_DO_CA_POMDPs.
• get Get function for DS_DO_DA_POMDPs.
• get Get functio for POMDPs.

• DiscretizeActionModel Produces a new action model discretizing the state space.
• get Get for GBeliefs.
• Prediction Belief evolution given a transition model.
• GenerateFigure7aData Generates the data for Figure 7-left.
• GetTest1caParameters The example on Figure 10.
• GetTest1coParameters The example on Figure 11.
• GetTest1pParameters The example on Figure 8.
• MakeFigure1 Generates Figure 1.
• MakeFigure3 Generates Figure 3.
• MakeFigure7 Generates Figure 7.
• Covariance Average covariance of a Gaussian mixture.
• FuseComponents Fuses a Gaussian mixture into a single Gaussian.
• Mean Mean of a Gmixture.
• ProductInt Product and marginalization of two GMixtures.
• plot Plots a Gaussian mixture.
• rand Generates random points on a GMixture.
• plot Plots a Gaussian.
• GetPOMDPSolutionStatistics Collects statistics with the outcome of an experiment.
• TestRep Executes many times of Perseus on a given problem.
• TestRepWithStatistics Executes many times Perseus on a given problem and collects statistics.
• DiscretizeObsModel Discretizes the observation model on the observation side.
• DiscretizeActionModel Discretizes the action space CS_CO_CA_POMDP.
• DiscretizeObsModel Discretizes the observation model on the observation side.
• get Get function for CS_CO_CA_POMDPs.
• DiscretizeObsModel Discretizes the observation model on the observation side.
• get Get function for CS_CO_DA_POMDPs.
• ComputeAlpha_a Compute the alpha_i_n-element for the given action and belief.
• get Get function for CS_CO_POMDPs.
• DiscretizeActionModel Discretizes the action space CS_DO_CA_POMDP.
• get Get function for CS_DO_CA_POMDPs.
• Discretize Discretizes the state space of the CS_DO_DA_POMDP.
• get Get function for CS_DO_DA_POMDPs.
• ComputeAlpha_a Compute the alpha_i_n-element for the given action and belief.
• Alpha0 Alpha-element for the first Perseus iteration (continuos state version).
• Backup Backup for a given belief (continuous state version).
• ComputeAlpha_j_a_o Computes a particular alpha-element.
• get Get function for CS_POMDPs.
• DiscretizeObsModel Discretizes the observation model on the observation side.
• get Get function for DS_CO_CA_POMDPs.
• DiscretizeObsModel Discretizes the observation model on the observation side.
• get Get function for DS_CO_DA_POMDPs.
• DiscretizeActionModel Discretizes the action space DS_DO_CA_POMDP.
• get Get function for DS_DO_CA_POMDPs.
• get Get function for DS_DO_DA_POMDPs.
• ComputeAlpha_a Compute the alpha_i_n-element for the given action and belief.
• Alpha0 Alpha-element for the first Perseus iteration (discrete state version).
• Backup Backupt for a given belief (discrete state version).
• ComputeAlpha_j_a_o Computes a particular alpha-element.
• ComputeAlphas_j_a_o Computes the set of al possible alpha-elements.
• DiscretizeActionModel Discretizes a POMDP on the action side.
• DiscretizeObsModel Discretizes a POMDP on the observation side.
• RandomAction Draws a random action from a POMDP.
• SampleBeliefs Samples a set of beliefs from a POMDP.
• SimulateFrom Simulates a POMDP from a given belief.
• SimulationStep Executes one step of a POMDP simulation.
• UniformDistribution Uniform distribution in the POMDP state space.
• minReward Lower bound of the minimal possible reward.
• minReward Lower bound of the minimal possible reward.

SOURCE CODE

0001 function v=get(gb,field)
0002 %   Get for GBeliefs.
0003 %
0004 %   get function for Gaussian-based beliefs.
0005 %
0006 %   See also GBelief.
0007 
0008   switch field
0009     case 'maxC'
0010       v=gb.maxC;
0011       
0012     otherwise
0013       v=get(gb.GMixture,field);
0014   end
0015