From da7e6166707822f8d7f224239fc4edda12ff8bf8 Mon Sep 17 00:00:00 2001
From: aandriella <aandriella@iri.upc.edu>
Date: Wed, 4 Aug 2021 15:08:16 +0200
Subject: [PATCH] Update README.md

---
 README.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/README.md b/README.md
index 81d9b07..2e2b83f 100644
--- a/README.md
+++ b/README.md
@@ -2,6 +2,7 @@
 ##### The two BN models are initialised by using the data collected from the human-therapist patient interactions and the therapist expertise in the form of questionnaire. The models are then refined session after session when the robot interacts with the patient. Therefore more accurate models are estimated.
 
 
+
 #### Package:
 - **bn_model_template** folder contains the models skeleton of the two models in bn_learn format
 - **bn_functions.py** and bn_variables.py are auxiliary classes for the bn_learn lib
@@ -10,3 +11,4 @@
 It returns a sequence of episodes defines as <current_state, assistive_action, next_state> that will be used as input for learning the reward function specific for that patient and therefore the degrees of assistance they need.
 
 
+#### NB: in order to build the BNs that models the therapist and the patient we used the [bnlearn](https://pypi.org/project/bnlearn/) library
-- 
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