diff --git a/tutorials/datasets/MovieLens 100k/dic_info.json b/tutorials/datasets/MovieLens 100k/dic_info.json
new file mode 100644
index 0000000..7a802d7
--- /dev/null
+++ b/tutorials/datasets/MovieLens 100k/dic_info.json	
@@ -0,0 +1,37 @@
+{
+    "name": "ML-100K",
+    "sparsity": 0.937056884900853,
+    "user_information": {
+        "std_consumption": 100.93613152085523,
+        "min_consumption": 1.0,
+        "median_consumption": 64.5,
+        "mean_consumption": 105.9332627118644,
+        "max_consumption": 737.0,
+        "num_user": 944.0,
+        ">=75%": 148.0,
+        ">=50%": 64.5,
+        ">=25%": 33.0
+    },
+    "item_information": {
+        "std_ratings": 80.37257740532644,
+        "min_ratings": 1.0,
+        "median_ratings": 27.0,
+        "mean_ratings": 59.41830065359477,
+        "max_ratings": 583.0,
+        "num_item": 1683.0,
+        ">=75%": 80.0,
+        ">=50%": 27.0,
+        ">=25%": 6.0
+    },
+    "ratings_information": {
+        "std": 1.1257233133724367,
+        "min": 0.0,
+        "median": 4.0,
+        "mean": 3.5298247017529825,
+        "max": 5.0,
+        "num_ratings": 100001.0,
+        ">=75%": 4.0,
+        ">=50%": 4.0,
+        ">=25%": 3.0
+    }
+}
\ No newline at end of file
diff --git a/tutorials/datasets/MovieLens 100k/informations.pdf b/tutorials/datasets/MovieLens 100k/informations.pdf
new file mode 100644
index 0000000..60ad41c
Binary files /dev/null and b/tutorials/datasets/MovieLens 100k/informations.pdf differ
diff --git a/tutorials/datasets/MovieLens 100k/informations.tex b/tutorials/datasets/MovieLens 100k/informations.tex
new file mode 100644
index 0000000..5aa9978
--- /dev/null
+++ b/tutorials/datasets/MovieLens 100k/informations.tex	
@@ -0,0 +1,90 @@
+	
+\documentclass{article}
+
+\usepackage{multirow}
+\usepackage{color, colortbl}
+\usepackage{xcolor, soul}
+\usepackage[utf8]{inputenc}
+\usepackage[T1]{fontenc}
+\usepackage[brazil]{babel}
+\usepackage{graphicx}
+\usepackage{subcaption}  
+
+\definecolor{Gray}{gray}{0.9}
+\definecolor{StrongGray}{gray}{0.7}
+
+\title{Dataset Information}
+\begin{document}
+\maketitle
+			
+	\begin{table}[h!]
+		\centering
+		\begin{tabular}{ |c||c|c|c|  } \hline 
+
+			\rowcolor{StrongGray}
+			\multicolumn{4}{|c|}{ML-100K Dataset Information - Sparsity: 0.9370} \\ \hline \hline
+
+			\rowcolor{Gray}
+			Information & User Consumption Info & Item Rating Info & Rating Info\\ \hline \hline
+
+			STD & 100.9 & 80.3 & 1.1\\ \hline
+			MIN & 1.0 & 1.0 & 0.0\\ \hline
+			MEDIAN & 64.5 & 27.0 & 4.0\\ \hline
+			MEAN & 105.9 & 59.4 & 3.5\\ \hline
+			MAX & 737.0 & 583.0 & 5.0\\ \hline
+			NUM & 944.0 & 1683.0 & 100001.0\\ \hline
+			$\geq75$ & 148.0 & 80.0 & 4.0\\ \hline
+			$\geq50$ & 64.5 & 27.0 & 4.0\\ \hline
+			$\geq25$ & 33.0 & 6.0 & 3.0\\ \hline
+
+		\end{tabular}
+		\caption{Information about users, items and ratings.}
+		\label{table:1}
+	\end{table}
+		
+
+	\begin{figure}[!ht]
+	    \centering
+		\begin{minipage}{0.5\textwidth}
+		    \centering
+		    \includegraphics[width=0.9\textwidth]{./Analysis/ML-100K/Graphics/corr_pop_ent.png} 
+		    \caption{corr pop ent}
+		    \label{fig:figura1minipg}
+		\end{minipage}\hfill
+	    \begin{minipage}{0.5\textwidth}
+		    \centering
+		    \includegraphics[width=0.9\textwidth]{./Analysis/ML-100K/Graphics/corr_meanratings_pop.png} 
+		    \caption{corr meanratings pop}
+		    \label{fig:figura1minipg}
+		\end{minipage}\hfill
+	    \begin{minipage}{0.5\textwidth}
+		    \centering
+		    \includegraphics[width=0.9\textwidth]{./Analysis/ML-100K/Graphics/users_consuption.png} 
+		    \caption{users consuption}
+		    \label{fig:figura1minipg}
+		\end{minipage}\hfill
+	    \begin{minipage}{0.5\textwidth}
+		    \centering
+		    \includegraphics[width=0.9\textwidth]{./Analysis/ML-100K/Graphics/corr_itemsfeatures_pop.png} 
+		    \caption{corr itemsfeatures pop}
+		    \label{fig:figura1minipg}
+		\end{minipage}\hfill
+	    \begin{minipage}{0.5\textwidth}
+		    \centering
+		    \includegraphics[width=0.9\textwidth]{./Analysis/ML-100K/Graphics/items_rated.png} 
+		    \caption{items rated}
+		    \label{fig:figura1minipg}
+		\end{minipage}\hfill
+	    \begin{minipage}{0.5\textwidth}
+		    \centering
+		    \includegraphics[width=0.9\textwidth]{./Analysis/ML-100K/Graphics/corr_meanratings_ent.png} 
+		    \caption{corr meanratings ent}
+		    \label{fig:figura1minipg}
+		\end{minipage}\hfill
+	    
+		% \caption{Graphics}
+		\label{fig:figurasminipg}
+	\end{figure}
+			
+\end{document}
+			
\ No newline at end of file
diff --git a/tutorials/datasets/MovieLens 100k/top-100_items_entropy.txt b/tutorials/datasets/MovieLens 100k/top-100_items_entropy.txt
new file mode 100644
index 0000000..5e1175f
--- /dev/null
+++ b/tutorials/datasets/MovieLens 100k/top-100_items_entropy.txt	
@@ -0,0 +1,101 @@
+item_id	score
+815	1.597234203958847
+294	1.592192307331314
+61	1.587882168209801
+1405	1.5792331346113389
+497	1.576695992330607
+527	1.5748427300244527
+374	1.5724887547715412
+928	1.571061161892474
+798	1.5678962872108388
+1229	1.565845452554416
+744	1.5648538428609964
+265	1.5630695429447656
+360	1.5610048541234605
+223	1.5609206710923602
+897	1.5607104090414063
+1293	1.5607104090414063
+691	1.5590931042048033
+171	1.5571130980576458
+419	1.5571130980576458
+848	1.5571130980576458
+1233	1.5571130980576455
+870	1.556910568114504
+666	1.5558794724488303
+466	1.5556646696181333
+1343	1.5544328269016834
+1058	1.553019134703412
+1225	1.5530014019808
+233	1.5525140696556048
+1146	1.5508457063832817
+940	1.5498260458782016
+906	1.5494170420810358
+964	1.5465986860485126
+976	1.5465986860485126
+1117	1.5465986860485126
+1317	1.5465986860485126
+1226	1.5465986860485124
+477	1.5456055131100814
+451	1.5454229031935938
+1421	1.5437891850588954
+995	1.5437672979880863
+930	1.5419584371829487
+331	1.54065205313336
+8	1.5389266301898288
+123	1.5354206959078445
+563	1.5351908491313153
+598	1.5351908491313153
+468	1.5347676808102217
+517	1.533893392285119
+1115	1.533263066909204
+341	1.5305397243418035
+316	1.530467652890292
+1223	1.53022074156986
+602	1.5300089139055837
+1192	1.5292482930376914
+585	1.5288460918887299
+796	1.528652087172375
+883	1.5270355158941487
+1243	1.5260394155804642
+1116	1.5257607683920602
+885	1.5256715197633526
+410	1.5247073930301436
+1142	1.5247073930301436
+1301	1.5247073930301436
+890	1.5242564032679284
+391	1.5235967393304184
+413	1.5233999822609356
+572	1.522961660632849
+614	1.5227235330986488
+955	1.5227136689800211
+269	1.5226965458840906
+886	1.5214620898340783
+352	1.5203298028074628
+925	1.5196918474879466
+252	1.5184174505936268
+1059	1.518267124767796
+262	1.5179142731543076
+700	1.5178210748928995
+1083	1.5176745294625686
+402	1.5171063970610277
+972	1.5171063970610277
+1246	1.5171063970610275
+1315	1.515707952085713
+1453	1.5157079520857129
+954	1.5154125178887332
+594	1.514340872488177
+59	1.5138149024461531
+680	1.5134058386196787
+742	1.5123786573528997
+520	1.5104288998570303
+181	1.5100527352298625
+814	1.509971678751745
+1042	1.5095825913076644
+797	1.509544687783763
+348	1.5089424503045463
+849	1.5082642804351818
+175	1.5081132446402752
+381	1.5080715571604042
+1070	1.5077294282174092
+526	1.507519552871314
+1031	1.5068409398295437
\ No newline at end of file
diff --git a/tutorials/datasets/MovieLens 100k/top-100_items_popularity.txt b/tutorials/datasets/MovieLens 100k/top-100_items_popularity.txt
new file mode 100644
index 0000000..0572cf3
--- /dev/null
+++ b/tutorials/datasets/MovieLens 100k/top-100_items_popularity.txt	
@@ -0,0 +1,101 @@
+item_id	score
+357	583
+157	509
+49	508
+52	507
+95	485
+289	481
+60	478
+24	452
+652	431
+403	429
+101	420
+189	413
+216	394
+209	392
+31	390
+77	384
+140	378
+161	367
+12	365
+247	350
+719	350
+136	344
+156	336
+347	331
+103	326
+321	324
+191	321
+175	316
+367	316
+491	315
+10	303
+112	301
+57	300
+502	299
+200	298
+695	298
+1	297
+408	297
+98	295
+102	295
+23	293
+68	293
+86	293
+256	291
+166	290
+311	284
+239	283
+29	280
+179	280
+254	276
+471	276
+217	275
+83	272
+89	268
+297	267
+364	267
+240	264
+231	261
+118	259
+360	259
+320	256
+329	256
+139	255
+25	254
+53	251
+280	251
+307	251
+423	251
+355	250
+221	247
+100	246
+182	244
+552	244
+22	243
+174	243
+34	241
+117	240
+144	240
+273	239
+361	239
+229	236
+647	232
+99	231
+201	230
+404	230
+6	227
+431	227
+356	226
+141	223
+56	222
+120	221
+492	221
+571	221
+309	220
+456	220
+26	219
+66	219
+274	219
+389	219
+51	218
\ No newline at end of file
diff --git a/tutorials/example_ensemble_agents.ipynb b/tutorials/example_ensemble_agents.ipynb
index 36c9b43..666b0c5 100644
--- a/tutorials/example_ensemble_agents.ipynb
+++ b/tutorials/example_ensemble_agents.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -57,7 +57,7 @@
    "source": [
     "# Dataset\n",
     "dataset = {\n",
-    "    'path': \"../datasets/MovieLens 100k/ratings.csv\",\n",
+    "    'path': \"datasets/MovieLens 100k/ratings.csv\",\n",
     "    'random_seed': 0,\n",
     "    'file_delimiter': \",\",\n",
     "    'skip_head': True\n",
@@ -80,7 +80,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -100,7 +100,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -123,18 +123,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
     "asp_sea = ASPGenericGreedy()\n",
     "vf_sea = GenericThompsonSampling(**params[\"GenericThompsonSampling\"])\n",
-    "ensemble_agent = SimpleEnsembleAgent(agents=[agent1, agent2], action_selection_policy=asp_sea, name=\"EnsebleAgent\", value_function=vf_sea)"
+    "ensemble_agent = SimpleEnsembleAgent(\n",
+    "    agents=[agent1, agent2],\n",
+    "    action_selection_policy=asp_sea,\n",
+    "    name=\"EnsembleAgent\",\n",
+    "    value_function=vf_sea\n",
+    ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -151,7 +156,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -160,7 +165,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -175,7 +180,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "rmse=0.800: 100%|██████████| 20/20 [00:15<00:00,  1.29it/s]\n"
+      "rmse=0.801: 100%|██████████| 20/20 [00:19<00:00,  1.05it/s]\n"
      ]
     },
     {
@@ -189,7 +194,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "LinearUCB: 100%|██████████| 18900/18900 [00:17<00:00, 1083.03it/s]\n"
+      "LinearUCB: 100%|██████████| 18900/18900 [00:15<00:00, 1228.89it/s]\n"
      ]
     },
     {
@@ -205,36 +210,36 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "MostPopular: 100%|██████████| 18900/18900 [00:02<00:00, 6731.79it/s]\n"
+      "MostPopular: 100%|██████████| 18900/18900 [00:01<00:00, 10166.16it/s]\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "EnsebleAgent\n",
-      "Starting EnsebleAgent Training\n"
+      "EnsembleAgent\n",
+      "Starting EnsembleAgent Training\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "rmse=0.801: 100%|██████████| 20/20 [00:18<00:00,  1.08it/s]\n"
+      "rmse=0.800: 100%|██████████| 20/20 [00:17<00:00,  1.15it/s]\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Ended EnsebleAgent Training\n"
+      "Ended EnsembleAgent Training\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "EnsebleAgent: 100%|██████████| 18900/18900 [00:22<00:00, 844.46it/s] \n"
+      "EnsembleAgent: 100%|██████████| 18900/18900 [00:21<00:00, 872.49it/s] \n"
      ]
     }
    ],
@@ -255,7 +260,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -271,7 +276,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -286,7 +291,7 @@
       "Computing interaction 20 with UserCumulativeInteraction\n",
       "Computing interaction 50 with UserCumulativeInteraction\n",
       "Computing interaction 100 with UserCumulativeInteraction\n",
-      "UserCumulativeInteraction spent 0.86 seconds executing Hits metric\n",
+      "UserCumulativeInteraction spent 0.62 seconds executing Hits metric\n",
       "\n",
       "Evaluating MostPopular\n",
       "\n",
@@ -295,16 +300,16 @@
       "Computing interaction 20 with UserCumulativeInteraction\n",
       "Computing interaction 50 with UserCumulativeInteraction\n",
       "Computing interaction 100 with UserCumulativeInteraction\n",
-      "UserCumulativeInteraction spent 0.38 seconds executing Hits metric\n",
+      "UserCumulativeInteraction spent 0.35 seconds executing Hits metric\n",
       "\n",
-      "Evaluating EnsebleAgent\n",
+      "Evaluating EnsembleAgent\n",
       "\n",
       "Computing interaction 5 with UserCumulativeInteraction\n",
       "Computing interaction 10 with UserCumulativeInteraction\n",
       "Computing interaction 20 with UserCumulativeInteraction\n",
       "Computing interaction 50 with UserCumulativeInteraction\n",
       "Computing interaction 100 with UserCumulativeInteraction\n",
-      "UserCumulativeInteraction spent 0.38 seconds executing Hits metric\n"
+      "UserCumulativeInteraction spent 0.35 seconds executing Hits metric\n"
      ]
     }
    ],
@@ -319,7 +324,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -361,11 +366,11 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>LinearUCB</th>\n",
-       "      <td>1.936508</td>\n",
-       "      <td>3.47619</td>\n",
-       "      <td>6.333333</td>\n",
-       "      <td>14.084656</td>\n",
-       "      <td>22.915344</td>\n",
+       "      <td>1.920635</td>\n",
+       "      <td>3.608466</td>\n",
+       "      <td>6.42328</td>\n",
+       "      <td>14.058201</td>\n",
+       "      <td>22.645503</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>MostPopular</th>\n",
@@ -376,26 +381,26 @@
        "      <td>16.703704</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>EnsebleAgent</th>\n",
-       "      <td>1.846561</td>\n",
-       "      <td>3.470899</td>\n",
-       "      <td>6.492063</td>\n",
-       "      <td>14.132275</td>\n",
-       "      <td>23.026455</td>\n",
+       "      <th>EnsembleAgent</th>\n",
+       "      <td>1.820106</td>\n",
+       "      <td>3.433862</td>\n",
+       "      <td>6.37037</td>\n",
+       "      <td>13.989418</td>\n",
+       "      <td>22.89418</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                     5        10        20         50        100\n",
-       "Model                                                           \n",
-       "LinearUCB     1.936508   3.47619  6.333333  14.084656  22.915344\n",
-       "MostPopular   1.666667  2.904762  5.126984  10.063492  16.703704\n",
-       "EnsebleAgent  1.846561  3.470899  6.492063  14.132275  23.026455"
+       "                      5        10        20         50        100\n",
+       "Model                                                            \n",
+       "LinearUCB      1.920635  3.608466   6.42328  14.058201  22.645503\n",
+       "MostPopular    1.666667  2.904762  5.126984  10.063492  16.703704\n",
+       "EnsembleAgent  1.820106  3.433862   6.37037  13.989418   22.89418"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }