Update README.rst

Author: NikitinaMaria

README.rst

@@ -20,19 +20,20 @@ Description
 
 This repository implements an educational project for the Bayesian Multimodeling course. It implements algorithms for sampling from various distributions, using the implicit reparameterization trick.
 
-## Scope
+Scope
+==========
 We plan to implement the following distributions in our library:
-- Gaussian normal distribution (*)
-- Dirichlet distribution (Beta distributions)(\*)
-- Sampling from a mixture of distributions
-- Sampling from the Student's t-distribution (**) (\*)
-- Sampling from an arbitrary factorized distribution (***)
+- `Gaussian normal distribution (*)`
+- `Dirichlet distribution (Beta distributions)(*)`
+- `Sampling from a mixture of distributions`
+- `Sampling from the Student's t-distribution (**) (*)`
+- `Sampling from an arbitrary factorized distribution (***)`
 
-(\*) - this distribution is already implemented in torch using the explicit reparameterization trick, we will implement it for comparison
+(*) - this distribution is already implemented in torch using the explicit reparameterization trick, we will implement it for comparison
 
-(\*\*) - this distribution is added as a backup, their inclusion is questionable
+(**) - this distribution is added as a backup, their inclusion is questionable
 
-(\*\*\*) - this distribution is not very clear in implementation, its inclusion is questionable
+(***) - this distribution is not very clear in implementation, its inclusion is questionable
 
 Stack
 ==========