Mauch MIREX 2010

function CPD = tabular_decision_node(sz, CPT)

% TABULAR_DECISION_NODE Represent the randomized policy over a discrete decision/action node as a table

% CPD = tabular_decision_node(sz, CPT)

%

% sz(1:end-1) is the sizes of the parents, sz(end) is the size of this node

% By default, CPT is set to the uniform random policy

if nargin==0

  % This occurs if we are trying to load an object from a file.

  CPD = init_fields;

  CPD = class(CPD, 'tabular_decision_node');

  return;

elseif isa(sz, 'tabular_decision_node')

  % This might occur if we are copying an object.

  CPD = sz;

  return;

end

CPD = init_fields;

if nargin < 2

  CPT = mk_stochastic(myones(sz)); 

else

  CPT = myreshape(CPT, sz);

end

CPD.CPT = CPT;

CPD.size = sz;

CPD = class(CPD, 'tabular_decision_node');

%%%%%%%%%%%

function CPD = init_fields()

% This ensures we define the fields in the same order 

% no matter whether we load an object from a file,

% or create it from scratch. (Matlab requires this.)

CPD.CPT = [];

CPD.size = [];