axis. The possible distributions are 'normal' of parameters (mean,std),
'lognormal' of parameters (mean,sigma), 'uniform' of parameters (low,high),
or 'weibull' of parameter (shape). That is then a list of the same size than
- the one of the state.
+ the one of the state. By nature, the points are included in the unbounded or
+ bounded domain, depending on the characteristics of the distributions chosen
+ for each variable.
Example :
``{"SampleAsIndependantRandomVariables":[['normal',[0.,1.],3], ['uniform',[-2,2],4]]}`` for a state space of dimension 2.