{"id":1695,"date":"2026-07-29T19:26:21","date_gmt":"2026-07-29T22:26:21","guid":{"rendered":"https:\/\/datamining.dc.uba.ar\/datamining\/?page_id=1695"},"modified":"2026-07-29T19:26:26","modified_gmt":"2026-07-29T22:26:26","slug":"aprendizaje-por-refuerzo","status":"publish","type":"page","link":"https:\/\/datamining.dc.uba.ar\/datamining\/aprendizaje-por-refuerzo\/","title":{"rendered":"Aprendizaje por Refuerzo"},"content":{"rendered":"<p><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container has-pattern-background has-mask-background fusion-parallax-fixed nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"background-color: rgba(255,255,255,0);background-image: url(&quot;https:\/\/datamining.dc.uba.ar\/datamining\/wp-content\/uploads\/2022\/07\/DSC_6018-1.jpg&quot;);background-position: center center;background-repeat: no-repeat;border-width: 0px 0px 0px 0px;border-color:var(--awb-color3);border-style:solid;-webkit-background-size:cover;-moz-background-size:cover;-o-background-size:cover;background-size:cover;background-attachment:fixed;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start\" style=\"max-width:1248px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_1_1 1_1 fusion-flex-column\"><div class=\"fusion-column-wrapper fusion-flex-justify-content-flex-start fusion-content-layout-column\" style=\"background-position:left top;background-repeat:no-repeat;-webkit-background-size:cover;-moz-background-size:cover;-o-background-size:cover;background-size:cover;padding: 0px 0px 0px 0px;\"><style type=\"text\/css\">@media only screen and (max-width:1024px) {.fusion-title.fusion-title-1{margin-top:150px!important; margin-right:0px!important;margin-bottom:150px!important;margin-left:0px!important;}}@media only screen and (max-width:640px) {.fusion-title.fusion-title-1{margin-top:10px!important; margin-right:0px!important;margin-bottom:10px!important; margin-left:0px!important;}}<\/style><div class=\"fusion-title title fusion-title-1 fusion-sep-none fusion-title-text fusion-title-size-one\" style=\"margin-top:150px;margin-right:0px;margin-bottom:150px;margin-left:0px;\"><h1 class=\"title-heading-left\" style=\"margin:0;\">Aprendizaje por Refuerzo<\/h1><\/div><div class=\"fusion-section-separator section-separator curved fusion-section-separator-1\" style=\"margin-bottom:0px;\"><div class=\"fusion-section-separator-svg\" style=\"padding:0;\"><svg class=\"fusion-curved-candy\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" version=\"1.1\" width=\"100%\" height=\"100\" viewBox=\"0 0 100 100\" preserveAspectRatio=\"none\" style=\"padding:0;\" fill=\"rgba(255,255,255,1)\"><path d=\"M0 100 C 20 0 50 0 100 100 Z\"><\/path><\/svg><\/div><div class=\"fusion-section-separator-spacer\"><div class=\"fusion-section-separator-spacer-height\" style=\"height:99px;\"><\/div><\/div><style type=\"text\/css\">.fusion-section-separator-1 .fusion-section-separator-svg {margin-left:1.92%;margin-right:1.92%;}@media only screen and (max-width:1024px) {.fusion-section-separator-1 .fusion-section-separator-svg {margin-left:1.92%;margin-right:1.92%;}}@media only screen and (max-width:640px) {.fusion-section-separator-1 .fusion-section-separator-svg {margin-left:1.92%;margin-right:1.92%;}}<\/style><\/div><\/div><style type=\"text\/css\">.fusion-body .fusion-builder-column-0{width:100% !important;margin-top : 0px;margin-bottom : 0px;}.fusion-builder-column-0 > .fusion-column-wrapper {padding-top : 0px !important;padding-right : 0px !important;margin-right : 1.92%;padding-bottom : 0px !important;padding-left : 0px !important;margin-left : 1.92%;}@media only screen and (max-width:1024px) {.fusion-body .fusion-builder-column-0{width:100% !important;order : 0;}.fusion-builder-column-0 > .fusion-column-wrapper {margin-right : 1.92%;margin-left : 1.92%;}}@media only screen and (max-width:640px) {.fusion-body .fusion-builder-column-0{width:100% !important;order : 0;}.fusion-builder-column-0 > .fusion-column-wrapper {margin-right : 1.92%;margin-left : 1.92%;}}<\/style><\/div><\/div><style type=\"text\/css\">.fusion-body .fusion-flex-container.fusion-builder-row-1{ padding-top : 60px;margin-top : 0px;padding-right : 0px;padding-bottom : 0px;margin-bottom : 0px;padding-left : 0px;}<\/style><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-2 fusion-flex-container has-pattern-background has-mask-background nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"background-color: rgba(255,255,255,0);background-position: center center;background-repeat: no-repeat;border-width: 0px 0px 0px 0px;border-color:var(--awb-color3);border-style:solid;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-stretch\" style=\"max-width:1248px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-1 fusion_builder_column_1_1 1_1 fusion-flex-column fusion-flex-align-self-flex-start\"><div class=\"fusion-column-wrapper fusion-flex-justify-content-flex-start fusion-content-layout-column\" style=\"background-position:left top;background-repeat:no-repeat;-webkit-background-size:cover;-moz-background-size:cover;-o-background-size:cover;background-size:cover;padding: 0px 0px 0px 0px;\"><div class=\"fusion-text fusion-text-1\"><p><a href=\"https:\/\/datamining.dc.uba.ar\/datamining\/materias\/\"><strong><span style=\"color: #6b0046;\">Volver al Cronograma de Cursos y Materias<\/span><\/strong><\/a><\/p>\n<\/div><\/div><style type=\"text\/css\">.fusion-body .fusion-builder-column-1{width:100% !important;margin-top : 0px;margin-bottom : 20px;}.fusion-builder-column-1 > .fusion-column-wrapper {padding-top : 0px !important;padding-right : 0px !important;margin-right : 1.92%;padding-bottom : 0px !important;padding-left : 0px !important;margin-left : 1.92%;}@media only screen and (max-width:1024px) {.fusion-body .fusion-builder-column-1{width:100% !important;order : 0;}.fusion-builder-column-1 > .fusion-column-wrapper {margin-right : 1.92%;margin-left : 1.92%;}}@media only screen and (max-width:640px) {.fusion-body .fusion-builder-column-1{width:100% !important;order : 0;}.fusion-builder-column-1 > .fusion-column-wrapper {margin-right : 1.92%;margin-left : 1.92%;}}<\/style><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-2 fusion_builder_column_1_3 1_3 fusion-flex-column fusion-flex-align-self-stretch\"><div class=\"fusion-column-wrapper fusion-flex-justify-content-flex-start fusion-content-layout-column\" style=\"background-position:left top;background-repeat:no-repeat;-webkit-background-size:cover;-moz-background-size:cover;-o-background-size:cover;background-size:cover;background-color:#f5f4f4;padding: 50px 0px 0px 50px;\"><ul class=\"fusion-checklist fusion-checklist-1\" style=\"font-size:16px;line-height:27.2px;\"><li style=\"background-color:rgba(255,255,255,0);\" class=\"fusion-li-item\"><span style=\"background-color:#f5f4f4;font-size:14.08px;height:27.2px;width:27.2px;margin-right:11.2px;\" class=\"icon-wrapper circle-yes\"><i class=\"fusion-li-icon fa-clock fas\" style=\"color:#ff6526;\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\" style=\"margin-left:38.4px;color:var(--awb-color8);\">\n<p><strong>Horas de clases semanales:\u00a0<\/strong><\/p>\n<\/div><\/li><li style=\"background-color:rgba(255,255,255,0);\" class=\"fusion-li-item\"><span style=\"background-color:#f5f4f4;font-size:14.08px;height:27.2px;width:27.2px;margin-right:11.2px;\" class=\"icon-wrapper circle-yes\"><i class=\"fusion-li-icon fa-laptop fas\" style=\"color:#ff6526;\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\" style=\"margin-left:38.4px;color:var(--awb-color8);\">\n<p><strong>Carga horaria cuatrimestral:<\/strong><\/p>\n<\/div><\/li><li style=\"background-color:rgba(255,255,255,0);\" class=\"fusion-li-item\"><span style=\"background-color:#f5f4f4;font-size:14.08px;height:27.2px;width:27.2px;margin-right:11.2px;\" class=\"icon-wrapper circle-yes\"><i class=\"fusion-li-icon fa-history fas\" style=\"color:#ff6526;\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\" style=\"margin-left:38.4px;color:var(--awb-color8);\"><strong>Duraci\u00f3n:<\/strong><\/div><\/li><li style=\"background-color:rgba(255,255,255,0);\" class=\"fusion-li-item\"><span style=\"background-color:#f5f4f4;font-size:14.08px;height:27.2px;width:27.2px;margin-right:11.2px;\" class=\"icon-wrapper circle-yes\"><i class=\"fusion-li-icon fa-chalkboard-teacher fas\" style=\"color:#ff6526;\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\" style=\"margin-left:38.4px;color:var(--awb-color8);\">\n<p><strong>Docentes:<\/strong><\/p>\n<\/div><\/li><\/ul><\/div><style type=\"text\/css\">.fusion-body .fusion-builder-column-2{width:33.333333333333% !important;margin-top : 0px;margin-bottom : 20px;}.fusion-builder-column-2 > .fusion-column-wrapper {padding-top : 50px !important;padding-right : 0px !important;margin-right : 5.76%;padding-bottom : 0px !important;padding-left : 50px !important;margin-left : 5.76%;}@media only screen and (max-width:1024px) {.fusion-body .fusion-builder-column-2{width:33.333333333333% !important;order : 0;}.fusion-builder-column-2 > .fusion-column-wrapper {margin-right : 5.76%;margin-left : 5.76%;}}@media only screen and (max-width:640px) {.fusion-body .fusion-builder-column-2{width:100% !important;order : 0;}.fusion-builder-column-2 > .fusion-column-wrapper {margin-right : 1.92%;margin-left : 1.92%;}}<\/style><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-3 fusion_builder_column_2_3 2_3 fusion-flex-column\"><div class=\"fusion-column-wrapper fusion-flex-justify-content-flex-start fusion-content-layout-column\" style=\"background-position:left top;background-repeat:no-repeat;-webkit-background-size:cover;-moz-background-size:cover;-o-background-size:cover;background-size:cover;padding: 0px 0px 0px 0px;\"><style type=\"text\/css\">@media only screen and (max-width:1024px) {.fusion-title.fusion-title-2{margin-top:10px!important; margin-right:0px!important;margin-bottom:15px!important;margin-left:0px!important;}}@media only screen and (max-width:640px) {.fusion-title.fusion-title-2{margin-top:10px!important; margin-right:0px!important;margin-bottom:10px!important; margin-left:0px!important;}}<\/style><div class=\"fusion-title title fusion-title-2 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"margin-top:10px;margin-right:0px;margin-bottom:15px;margin-left:0px;\"><h2 class=\"title-heading-left\" style=\"margin:0;color:#6b0046;\">Temario \/Programa<\/h2><\/div><div class=\"fusion-text fusion-text-2 fusion-text-no-margin\" style=\"margin-bottom:30px;\"><p><strong><br \/>\nObjetivos<\/strong><\/p>\n<p>Comprender las bases te\u00f3ricas de los algoritmos de Aprendizaje Reforzado basadas en teor\u00eda de probabilidad y manejar herramientas computacionales para poder plantear y resolver problemas pr\u00e1cticos.<\/p>\n<p>Se espera que al final del curso el estudiante desarrolle capacidades para:<\/p>\n<p>(a) Formular problemas pr\u00e1cticos y resolverlos implementando algoritmos de Aprendizaje Reforzado en Pytorch y Librer\u00eda OpenGym;<br \/>\n(b) Evaluar la performance de distintos modelos y algoritmos;<br \/>\n(c) Poder comprender literatura cient\u00edfica actualizada.<\/p>\n<p><strong>Requisitos<\/strong><\/p>\n<p>Probabilidad, \u00c1lgebra Lineal y Programaci\u00f3n.<\/p>\n<p><strong>Conocimientos previos relevantes (no excluyente)<\/strong><\/p>\n<p>Aprendizaje Autom\u00e1tico, Redes Neuronales.<\/p>\n<p><strong>Modalidad de ense\u00f1anza<\/strong><\/p>\n<p>Clases te\u00f3rico-pr\u00e1cticas. Se presentar\u00e1n los problemas generales, la teor\u00eda para formalizarlos y los algoritmos derivados para poder resolverlos. Se implementar\u00e1n los algoritmos y modelos de Aprendizaje Reforzado en Pytorch utilizando adem\u00e1s la librer\u00eda OpenAI Gym para la generaci\u00f3n de ambientes de simulaci\u00f3n.<\/p>\n<p><strong>Modalidad de evaluaci\u00f3n<\/strong><\/p>\n<p>Entrega peri\u00f3dica de ejercicios resueltos y presentaci\u00f3n de una monograf\u00eda final.<\/p>\n<p><strong>PROGRAMA<\/strong><\/p>\n<p>1. Introducci\u00f3n: definici\u00f3n, aplicaciones y comparaci\u00f3n con otros paradigmas del aprendizaje autom\u00e1tico. Herramientas computacionales: Python, Google Colab, OpenAl Gym.<\/p>\n<p>2. Problema del Bandido Multibrazo: m\u00e9todos con soluciones tabulares, m\u00e9todos de acci\u00f3n-valor, el problema de la no-estacionariedad y la selecci\u00f3n de valores iniciales, m\u00e9todo UCB (Upper-Confidence-Bound), algoritmos de bandidos basados en gradientes.<\/p>\n<p>3. Procesos de Decisi\u00f3n Markovianos: definici\u00f3n de ambiente, agente, estados, acciones, objetivos, recompensas y din\u00e1mica. Procesos Markovianos de recompensas. Ecuaciones de Bellman.<\/p>\n<p>4. Programaci\u00f3n Din\u00e1mica: M\u00e9todos con un modelo del mundo. Pol\u00edticas y funciones de valor \u00f3ptimas. Evaluaci\u00f3n de pol\u00edtica. Algoritmos de iteraci\u00f3n de pol\u00edtica y valores. Implementaci\u00f3n de ejemplos: grid-world, Jack\u2019s Car Rental y Gabbler\u2019s problema.<\/p>\n<p>5. M\u00e9todos Monte Carlo: M\u00e9todos de primera visita y de cada visita, dentro y fuera de la pol\u00edtica, muestreo de importancia, equilibrio entre exploraci\u00f3n y explotaci\u00f3n. Implementaci\u00f3n de ejemplo Blackjack.<\/p>\n<p>6. M\u00e9todo de Diferencia Temporales: algoritmos TD(0), SARSA, Q-Learning. Implementaci\u00f3n en OpenGym y librer\u00eda PTAN (ejemplo FrozenLake).<\/p>\n<p>7. Planeamiento y Aprendizaje: Algoritmo DYNA y Tabular DYNA-Q. Introducci\u00f3n a Deep Learning: introducci\u00f3n de redes neuronales profundas, entrenamiento de modelos con gradiente estoc\u00e1stico y propagaci\u00f3n hacia atr\u00e1s. Introducci\u00f3n a<br \/>\nPytorch e implementaci\u00f3n de algoritmos de Deep Learning.<\/p>\n<p>8. M\u00e9todos aproximados: redes neuronales, Deep Q-Learning (DQN). Mejoras al DQN: Double DQN, N-step DQN, Noisy networks, Dueling DQN. Implementaci\u00f3n de modelos en OpenAI Gym (ejemplo CartPole).<br \/>\n9. M\u00e9todos de gradientes de pol\u00edtica: Gradiente de pol\u00edtica Monte Carlo: algoritmo REINFORCE. M\u00e9todo Actor-Critic. Implementaci\u00f3n CartPole con REINFORCE y Actor Critic.<\/p>\n<\/div><div ><style>.fusion-body .fusion-button.button-1{border-color:var(--awb-color1);border-radius:30px 30px 30px 30px;background:#6b0046;font-size:16px;font-family:\"IBM Plex Sans\";font-weight:400;}.fusion-body .fusion-button.button-1 .fusion-button-text,.fusion-body .fusion-button.button-1 i,.fusion-body .fusion-button.button-1:hover .fusion-button-text,.fusion-body .fusion-button.button-1:hover i,.fusion-body .fusion-button.button-1:focus .fusion-button-text,.fusion-body .fusion-button.button-1:focus i,.fusion-body .fusion-button.button-1:active .fusion-button-text,.fusion-body .fusion-button.button-1:active i{color:var(--awb-color1);}.fusion-body .fusion-button.button-1:hover,.fusion-body .fusion-button.button-1:active,.fusion-body .fusion-button.button-1:focus{border-color:var(--awb-color1);background:#370030;}<\/style><a class=\"fusion-button button-flat fusion-button-default-size button-custom button-1 fusion-button-default-span fusion-button-default-type\" target=\"_blank\" rel=\"noopener noreferrer\" href=\"http:\/\/datamining.dc.uba.ar\/campus\/\"><span class=\"fusion-button-text\">CAMPUS VIRTUAL<\/span><\/a><\/div>\n<\/div><style type=\"text\/css\">.fusion-body .fusion-builder-column-3{width:66.666666666667% !important;margin-top : 0px;margin-bottom : 20px;}.fusion-builder-column-3 > .fusion-column-wrapper {padding-top : 0px !important;padding-right : 0px !important;margin-right : 2.88%;padding-bottom : 0px !important;padding-left : 0px !important;margin-left : 2.88%;}@media only screen and (max-width:1024px) {.fusion-body .fusion-builder-column-3{width:66.666666666667% !important;order : 0;}.fusion-builder-column-3 > .fusion-column-wrapper {margin-right : 2.88%;margin-left : 2.88%;}}@media only screen and (max-width:640px) {.fusion-body .fusion-builder-column-3{width:100% !important;order : 0;}.fusion-builder-column-3 > .fusion-column-wrapper {margin-right : 1.92%;margin-left : 1.92%;}}<\/style><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-4 fusion_builder_column_1_2 1_2 fusion-flex-column fusion-flex-align-self-flex-start\"><div class=\"fusion-column-wrapper fusion-flex-justify-content-flex-start fusion-content-layout-column\" style=\"background-position:left top;background-repeat:no-repeat;-webkit-background-size:cover;-moz-background-size:cover;-o-background-size:cover;background-size:cover;padding: 0px 0px 0px 0px;\"><style type=\"text\/css\">#accordion-1695-1 .fusion-panel:hover{ border-color: var(--awb-color3) } #accordion-1695-1 .fusion-panel { border-color:var(--awb-color3); }.fusion-accordian  #accordion-1695-1 .panel-title a .fa-fusion-box{ color: #ff6526;}.fusion-accordian  #accordion-1695-1 .panel-title a .fa-fusion-box:before{ font-size: 16px; width: 16px;}.fusion-accordian  #accordion-1695-1 .panel-title 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id=\"accordion-1695-1\"><style type=\"text\/css\">.fusion-accordian  #accordion-1695-1 .panel-238f51160774c28b9 .panel-title a{color:var(--awb-color8);}.fusion-accordian  #accordion-1695-1 .panel-238f51160774c28b9 .toggle-content{color:var(--awb-color8);}<\/style><div class=\"fusion-panel panel-default panel-238f51160774c28b9\"><div class=\"panel-heading\"><h4 class=\"panel-title toggle\" id=\"toggle_238f51160774c28b9\"><a aria-expanded=\"false\" aria-controls=\"238f51160774c28b9\" role=\"button\" data-toggle=\"collapse\" data-parent=\"#accordion-1695-1\" data-target=\"#238f51160774c28b9\" href=\"#238f51160774c28b9\"><span class=\"fusion-toggle-icon-wrapper\" aria-hidden=\"true\"><i class=\"fa-fusion-box active-icon awb-icon-minus\" aria-hidden=\"true\"><\/i><i class=\"fa-fusion-box inactive-icon awb-icon-plus\" aria-hidden=\"true\"><\/i><\/span><span class=\"fusion-toggle-heading\">Bibliograf\u00eda<\/span><\/a><\/h4><\/div><div id=\"238f51160774c28b9\" class=\"panel-collapse collapse \" araia-labelledby=\"toggle_238f51160774c28b9\"><div class=\"panel-body toggle-content fusion-clearfix\"><\/div><\/div><\/div><\/div><\/div><\/div><style type=\"text\/css\">.fusion-body .fusion-builder-column-4{width:50% !important;margin-top : 0px;margin-bottom : 20px;}.fusion-builder-column-4 > .fusion-column-wrapper {padding-top : 0px !important;padding-right : 0px !important;margin-right : 3.84%;padding-bottom : 0px !important;padding-left : 0px !important;margin-left : 3.84%;}@media only screen and (max-width:1024px) {.fusion-body .fusion-builder-column-4{width:50% !important;order : 0;}.fusion-builder-column-4 > .fusion-column-wrapper {margin-right : 3.84%;margin-left : 3.84%;}}@media only screen and (max-width:640px) {.fusion-body .fusion-builder-column-4{width:100% !important;order : 0;}.fusion-builder-column-4 > .fusion-column-wrapper {margin-right : 1.92%;margin-left : 1.92%;}}<\/style><\/div><\/div><style type=\"text\/css\">.fusion-body .fusion-flex-container.fusion-builder-row-2{ padding-top : 50px;margin-top : 0px;padding-right : 0px;padding-bottom : 100px;margin-bottom : 0px;padding-left : 0px;}<\/style><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-3 fusion-flex-container has-pattern-background has-mask-background nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"background-color: #6b0046;background-position: center center;background-repeat: no-repeat;border-width: 0px 0px 0px 0px;border-color:var(--awb-color3);border-style:solid;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start\" style=\"max-width:1248px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-5 fusion_builder_column_1_1 1_1 fusion-flex-column fusion-column-inner-bg-wrapper\"><div class=\"fusion-column-wrapper fusion-flex-justify-content-flex-start fusion-content-layout-column\" style=\"padding: 0px 0px 0px 0px;\"><style type=\"text\/css\">@media only screen and (max-width:1024px) {.fusion-title.fusion-title-3{margin-top:10px!important; margin-right:0px!important;margin-bottom:15px!important;margin-left:0px!important;}}@media only screen and (max-width:640px) {.fusion-title.fusion-title-3{margin-top:10px!important; margin-right:0px!important;margin-bottom:10px!important; margin-left:0px!important;}}<\/style><div class=\"fusion-title title fusion-title-3 fusion-sep-none fusion-title-text fusion-title-size-one\" style=\"margin-top:10px;margin-right:0px;margin-bottom:15px;margin-left:0px;\"><h1 class=\"title-heading-left\" style=\"margin:0;\"><p style=\"text-align: center;\">Ver programa de estudios<\/p><\/h1><\/div><\/div><span class=\"fusion-column-inner-bg hover-type-none\"><a class=\"fusion-column-anchor\" href=\"https:\/\/datamining.dc.uba.ar\/datamining\/programa-de-estudios\/\"><span class=\"fusion-column-inner-bg-image\" 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0px;padding-right : 0px;padding-bottom : 0px;margin-bottom : 0px;padding-left : 0px;}<\/style><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"100-width.php","meta":{"footnotes":""},"class_list":["post-1695","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Aprendizaje por Refuerzo - Maestr\u00eda en Data Mining<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datamining.dc.uba.ar\/datamining\/aprendizaje-por-refuerzo\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Aprendizaje por Refuerzo - 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