LEARN_MODEL_LW_PI Struct Reference

This structure describes learning a direct locally weighted linear policy model parameters LEARN_MODEL_LW_PI. More...

#include <ccl_learn_policy.h>

Data Fields
int	dim_y
	Dimentionality of output variable.
int	dim_x
	Dimentionality of input state variable.
int	dim_n
	Number of data samples.
int	dim_b
	Number of rbf centers.
int	dim_phi
	Dimensionality of feature.
double *	c
	rbf centers
double	s2
	rbf variance
double *	w [NUM_CENTRES]
	Locally weighted model parameters.

Detailed Description

This structure describes learning a direct locally weighted linear policy model parameters LEARN_MODEL_LW_PI.

This structure defines the model variables and initialises with their dimensionalities. It should always initialised with ccl_learn_policy_lw_pi_model_alloc, and destroyed with ccl_learn_policy_lw_pi_model_free.

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The documentation for this struct was generated from the following file:

• include/ccl_learn_policy.h