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class=\"text-uppercase\">AI nei Videogiochi: come si creano i moderni NPC con il\u003Cspan class=\"text-color-primary-400\"> REINFORCEMENT LEARNING\u003C/span>\u003C/h1>\n\u003Cp class=\"font-size-body-1\">Unisciti a noi per una live esclusiva dove esploreremo come il \u003Cstrong>reinforcement learning\u003C/strong> sta rivoluzionando la creazione di \u003Cstrong>NPC\u003C/strong> (personaggi non giocanti) nei videogiochi moderni.\u003C/p>\n\u003Cp class=\"font-size-body-1\">Scopriremo la \u003Cstrong>piattaforma open-source DIAMBRA\u003C/strong> che permette di formare agenti AI in ambienti di apprendimento avanzati e di farli competere in tornei di videogiochi dal vivo.\u003C/p>\n\u003Cp class=\"font-size-body-1\">\u003Cstrong>Topics\u003C/strong>: \u003Cem>Reinforcement Learning, NPC, videogames, AI agent\u003C/em>\u003C/p>\n","\u003Ch6>Rivedi la live:\u003C/h6>\n","left","\u003Ciframe width=\"560\" height=\"315\" 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Con il reinforcement learning, gli sviluppatori di giochi possono creare NPC intelligenti, adattivi e dinamici che migliorano significativamente l’esperienza di gioco.\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\" style=\"text-align: center;\">\u003Cspan class=\"text-color-grey-800\">Il reinforcement learning si basa su un ciclo continuo di interazione, feedback e adattamento. Gli agenti AI apprendono dai propri errori e migliorano i loro processi decisionali attraverso un meccanismo di ricompensa e penalità. Questo approccio è particolarmente efficace nello sviluppo di NPC in grado di adattarsi a situazioni nuove e complesse, offrendo esperienze di gioco più coinvolgenti e realistiche.\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\" style=\"text-align: center;\">\u003Cspan class=\"text-color-grey-800\">In questo webinar, insieme ad Alessandro Palmas, vedremo come la piattaforma open-source DIAMBRA permette di formare agenti AI in ambienti di apprendimento per rinforzo avanzati e farli competere in tornei di videogiochi dal vivo. 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Ha lavorato allo sviluppo di ambienti e simulatori, al training di modelli basati su agenti, e all’implementazione di algoritmi di apprendimento per rinforzo, oltre a partecipare a progetti di visione artificiale e modellazione fisica.\u003C/p>\n\u003Cp>Inoltre, Alessandro ha sviluppato DIAMBRA, una piattaforma per competizioni tra agenti di Reinforcement Learning, è co-autore del libro di Packt “The Reinforcement Learning Workshop” e ha fondato Artificial Twin, un servizio di consulenza specializzato in soluzioni industriali di machine learning e modellazione.\u003C/p>\n\u003Cp>Recentemente, si è concentrato sulla trasformazione di prototipi di ricerca in intelligenza artificiale in applicazioni pronte per la produzione per videogiochi AAA, progettando algoritmi avanzati, gestendo team e collaborando all’integrazione di modelli AI nei motori di gioco, oltre a contribuire alla definizione di roadmap di ricerca AI.\u003C/p>\n","color-accent-pink",{"block_layout":853,"bg_color":807,"text":854,"cta":855,"highlights":862,"v_align":878,"inverted":516,"flipped":516,"small_box":516},"highlight_list","\u003Ch4 class=\"fw-semibold\">NON PUOI PERDERTI\u003Cbr />\n\u003Cspan class=\"text-color-primary-400\">QUESTA LIVE SE:\u003C/span>\u003C/h4>\n\u003Cp class=\"font-size-body-1\">Vuoi scoprire come l’AI e il reinforcement learning stanno rivoluzionando la creazione di NPC nei videogiochi! 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