Discretize
PURPOSE 
Converts a continuous space into a discrete one.
SYNOPSIS
function DS=Discretize(CS,n,varargin)
DESCRIPTION
Converts a continuous space into a discrete one.
Generates a discrete space from a continuous one.
The discrete state is generated via sampling (each sample becomes one
of the states in the discrete version of the space).
Parameters:
CS: The continuous space
n: The number of samples to generate. The number of states of the
output discrete space.
samples: [optional] some samples to use in the discretization
Outputs:
DS: The resulting discrete space.CROSS-REFERENCE INFORMATION
This function calls:
- size Returns the size of a policy.
- rand Random state from a discrete belief.
- rand Random state from a belief.
- rand Generates random points on a GMixture.
- rand Generates random ponts on a Gaussian.
- rand Random state from a continuous space.
- DSpace DSpace constructor.
- rand Random state from a discrete space.
- GenerateFigure7aData Generates the data for Figure 7-left.
- GetTest1pParameters The example on Figure 8.
- MakeFigure7 Generates Figure 7.
- DiscretizeObsModel Discretizes the observation model on the observation side.
- DiscretizeActionModel Discretizes the action space CS_CO_CA_POMDP.
- DiscretizeActionModel Discretizes the action space CS_DO_CA_POMDP.
- Discretize Discretizes the state space of the CS_DO_DA_POMDP.
- DiscretizeActionModel Discretizes the action space DS_DO_CA_POMDP.
SOURCE CODE
0001 function DS=Discretize(CS,n,varargin) 0002 % Converts a continuous space into a discrete one. 0003 % 0004 % Generates a discrete space from a continuous one. 0005 % The discrete state is generated via sampling (each sample becomes one 0006 % of the states in the discrete version of the space). 0007 % 0008 % Parameters: 0009 % CS: The continuous space 0010 % n: The number of samples to generate. The number of states of the 0011 % output discrete space. 0012 % samples: [optional] some samples to use in the discretization 0013 % 0014 % Outputs: 0015 % DS: The resulting discrete space. 0016 % 0017 0018 if nargin>2 0019 k=size(varargin{1},2); 0020 samples=cell(1,k+n); 0021 samples(1:k)=varargin{1}; 0022 else 0023 k=0; 0024 samples=cell(1,n); 0025 end 0026 0027 for i=1:n 0028 samples{k+i}=rand(CS); 0029 end 0030 0031 DS=DSpace(n+k,samples);