Defines the reward function for a given action.
Particularizes a reward function defined on discrete state and
action spaces for a particular action 'a'.
The particularization is directly obtained from the vectors given in
the object definition. The output is a column vector with the size of
the state space.
See also DS_DA_RewardModel.
ComputeAlpha_a Compute the alpha_i_n-element for the given action and belief.
ComputeAlpha_a Compute the alpha_i_n-element for the given action and belief.
ComputeAlpha_a Compute the alpha_i_n-element for the given action and belief.
SOURCE CODE
0001 function ra=GetRewardModelFixedA(RM,a)
0002 % Defines the reward function for a given action.
0003 %
0004 % Particularizes a reward function defined on discrete state and
0005 % action spaces for a particular action 'a'.
0006 %
0007 % The particularization is directly obtained from the vectors given in
0008 % the object definition. The output is a column vector with the size of
0009 % the state space.
0010 %
0011 % See also DS_DA_RewardModel.
0012
0013 ra=RM.r{a};
0014