DiscretizeRewardModel
PURPOSE 
Discretizes the reward model on the action side.
SYNOPSIS
function DRM=DiscretizeRewardModel(RM,A)
DESCRIPTION
Discretizes the reward model on the action side.
Defines a reward function on continuous states and discrete actions
from a reward function on continuous states and actions.
The provided set of 'samples' in the action space is used as the set of
actions in the discrete set to be defined.
Parameters:
RM: The continous state/action action model to be discretized.
A: The discrete set of actions to use in the discretization.
See also CS_DA_RewardModel.CROSS-REFERENCE INFORMATION
This function calls:
- GMixture Gaussian mixture constructor.
- Value Evaluates a GMixture.
- Value Evaluation of a Gaussian.
- CS_DA_RewardModel CS_DA_RewardModel constructor.
- dim Dimensionality of a continuous space.
- dim Dimensionality of a discrete space.
- 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 DRM=DiscretizeRewardModel(RM,A) 0002 % Discretizes the reward model on the action side. 0003 % 0004 % Defines a reward function on continuous states and discrete actions 0005 % from a reward function on continuous states and actions. 0006 % The provided set of 'samples' in the action space is used as the set of 0007 % actions in the discrete set to be defined. 0008 % 0009 % Parameters: 0010 % RM: The continous state/action action model to be discretized. 0011 % A: The discrete set of actions to use in the discretization. 0012 % 0013 % See also CS_DA_RewardModel. 0014 0015 na=dim(A); 0016 0017 r=cell(1,na); 0018 for i=1:na 0019 r{i}=GMixture(RM.w.*cellfun(@(ga)(Value(ga,A(i))),RM.gA),RM.gS); 0020 end 0021 0022 DRM=CS_DA_RewardModel(RM.S,A,r);