{"ok":true,"nota":{"id":"e986592dff42085c","slug":"agent-lightning-entrena-agentes-de-ia-con-aprendizaje-por-refuerzo-en--e98659","titulo":"Agent Lightning entrena agentes de IA con aprendizaje por refuerzo en 3.500 líneas","resumen":"Microsoft Research presentó Agent Lightning v1.0, un marco liviano de unas 3.500 líneas de código que conecta agentes de IA existentes con el entrenamiento por refuerzo. Permite mejorarlos sin reconstruirlos desde cero. El anuncio no detalla resultados de rendimiento.","fuente":"microsoft-research","fuenteNombre":"Microsoft Research","color":"#00a4ef","autor":"Zhiyuan He, Yuqing Yang","url":"https://www.microsoft.com/en-us/research/blog/agent-lightning-v1-0-a-3500-line-lightweight-agentic-rl-framework-for-training-agents-with-real-harnesses/","imagen":"https://www.microsoft.com/en-us/research/wp-content/uploads/2026/09/AgentLightning-BlogHeroFeature-1400x788-1.jpg","tema":"tecnologia","subtemas":["agentes de ia","aprendizaje por refuerzo","desarrollo de software","entrenamiento de modelos"],"entidades":["Microsoft Research"],"formato":"dato","entretenimiento":false,"pubTs":"2026-10-07T16:00:00.000Z","indexTs":"2026-10-22T10:38:41.125Z","hash":"c38f1e5cf2d8b5d9731b1b18caa5ed96d00c8a0f31e4d4b1ea7a488d6b04ab32","tsa":{"time":"Oct 22 10:39:40 2026 GMT","provider":"freetsa.org","sobre":"sello"},"stats":{"views":0,"likes":0,"clicks":0,"dwell":0},"tipo":"normal","registro":"hallazgo","porQueImporta":"Para quien desarrolla software con IA, la noticia es que mejorar un agente ya armado podría dejar de exigir empezar de nuevo. Eso baja el costo de experimentar y acorta el camino desde una prueba hasta un producto que funcione mejor. Es una herramienta pensada para programadores, así que el impacto directo para el público general es indirecto.","quienFirma":"Microsoft Research","confianza":"divulgacion","consulta":null},"sello":{"hash":"c38f1e5cf2d8b5d9731b1b18caa5ed96d00c8a0f31e4d4b1ea7a488d6b04ab32","sello":"94858c649032b8db1bef3cec4de65e848a666c3d962b3b53842d8cf9b95dc081","beacon":{"drand":{"cadena":"8990e7a9aaed2ffed73dbd7092123d6f289930540d7651336225dc172e51b2ce","ronda":6574484,"aleatorio":"17f8dc6691055e17d3340945fc697b1d14385d774dc400926b289d0664c160fb","tiempo":"2026-10-22T10:39:00.000Z"},"nist":{"cadena":2,"pulso":1994441,"salida":"917B00588BBAF41DD8C461E7D93EA47DC73C00983776285722380061C2505D68D1C49D178A1E9E1A422EEA35DB6367141AB79828DD0F9592CE1805F752B02469","tiempo":"2026-10-22T10:32:00.000Z"},"noAntes":"2026-10-22T10:39:00.000Z"},"verificacion":{"drand":true,"nist":true},"tsa":{"time":"Oct 22 10:39:40 2026 GMT","provider":"freetsa.org","sobre":"sello"},"original":{"titulo":"Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses","descripcion":"Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research .","pubDate":"Wed, 07 Oct 2026 16:00:00 +0000","url":"https://www.microsoft.com/en-us/research/blog/agent-lightning-v1-0-a-3500-line-lightweight-agentic-rl-framework-for-training-agents-with-real-harnesses/"},"indexado":"2026-10-22T10:38:41.125Z"}}