{"id":2223,"date":"2026-09-16T12:53:56","date_gmt":"2026-09-16T10:53:56","guid":{"rendered":"https:\/\/www.ideas.edu.pl\/?post_type=publikacje&#038;p=2223"},"modified":"2026-09-16T12:53:56","modified_gmt":"2026-09-16T10:53:56","slug":"enenv-1-0-energy-grid-environment-for-multi-agent-reinforcement-learning-benchmarking","status":"publish","type":"publikacje","link":"https:\/\/www.ideas.edu.pl\/en\/publikacje\/enenv-1-0-energy-grid-environment-for-multi-agent-reinforcement-learning-benchmarking\/","title":{"rendered":"EnEnv 1.0: Energy Grid Environment for Multi-Agent Reinforcement Learning Benchmarking"},"content":{"rendered":"<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">Multi-agent reinforcement learning (MARL) offers prospects of efficient control in large distributed systems such as complex energy grids. The development of MARL algorithms is hampered by a scarcity of realistic benchmarks. In this paper, we introduce EnEnv 1.0 &#8211; a simulation benchmark for MARL in modern energy grids. EnEnv 1.0 is a set of environments in which the energy grids are simulated with uncontrollable renewable energy sources, fossil fuel generators, and consumers. The role of learning agents is to control and coordinate batteries in a distributed Battery Energy Storage System (BESS) based on readouts such as weather forecasts and load demand forecasts. The energy grids in EnEnv 1.0 are based on standard test systems of different topological structures. These include the modified standard IEEE 33, Illinois 200, and PEGASE 89 bus systems. These networks are adjusted to serve as the MARL benchmark by introducing real weather observations, demand data for European locations, and software interfaces that enable coupling with a number of existing implementations of MARL algorithms, as well as single-agent reinforcement learning (SARL) algorithms. In the experimental study, we verify the performance of a catalog of MARL and SARL methods on EnEnv 1.0.<\/p>\n<\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">Autorzy: Dominik Jacek Bogucki, \u0141ukasz Lepak, Sonam Parashar, Bart\u0142omiej B\u0142achowski, Pawe\u0142 Wawrzy\u0144ski<\/p>\n\n\n\n<div style=\"height:64px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-group is-layout-grid wp-container-core-group-is-layout-5ab56a3c wp-block-group-is-layout-grid\"><\/div>\n\n\n\n<div class=\"wp-block-group is-layout-grid wp-container-core-group-is-layout-5ab56a3c wp-block-group-is-layout-grid\"><\/div>","protected":false},"template":"","nazwa-konferencji":[42],"rodzaj-publikacji":[13],"rok-publikacji":[14],"class_list":["post-2223","publikacje","type-publikacje","status-publish","hentry","nazwa-konferencji-konferencja-aamas","rodzaj-publikacji-artykul-konferencyjny","rok-publikacji-14"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>EnEnv 1.0: Energy Grid Environment for Multi-Agent Reinforcement Learning Benchmarking &#8226; IDEAS Instytut Badawczy<\/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:\/\/www.ideas.edu.pl\/en\/publikacje\/enenv-1-0-energy-grid-environment-for-multi-agent-reinforcement-learning-benchmarking\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"EnEnv 1.0: Energy Grid Environment for Multi-Agent Reinforcement Learning Benchmarking &#8226; IDEAS Instytut Badawczy\" \/>\n<meta property=\"og:description\" content=\"Multi-agent reinforcement learning (MARL) offers prospects of efficient control in large distributed systems such as complex energy grids. The development of MARL algorithms is hampered by a scarcity of realistic benchmarks. In this paper, we introduce EnEnv 1.0 &#8211; a simulation benchmark for MARL in modern energy grids. EnEnv 1.0 is a set of environments [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.ideas.edu.pl\/en\/publikacje\/enenv-1-0-energy-grid-environment-for-multi-agent-reinforcement-learning-benchmarking\/\" \/>\n<meta property=\"og:site_name\" content=\"IDEAS Instytut Badawczy\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.ideas.edu.pl\/wp-content\/uploads\/feature-image-home.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1800\" \/>\n\t<meta property=\"og:image:height\" content=\"945\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/publikacje\\\/enenv-1-0-energy-grid-environment-for-multi-agent-reinforcement-learning-benchmarking\\\/\",\"url\":\"https:\\\/\\\/www.ideas.edu.pl\\\/publikacje\\\/enenv-1-0-energy-grid-environment-for-multi-agent-reinforcement-learning-benchmarking\\\/\",\"name\":\"EnEnv 1.0: Energy Grid Environment for Multi-Agent Reinforcement Learning Benchmarking &#8226; IDEAS Instytut Badawczy\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/#website\"},\"datePublished\":\"2026-09-16T10:53:56+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/publikacje\\\/enenv-1-0-energy-grid-environment-for-multi-agent-reinforcement-learning-benchmarking\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/www.ideas.edu.pl\\\/publikacje\\\/enenv-1-0-energy-grid-environment-for-multi-agent-reinforcement-learning-benchmarking\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/publikacje\\\/enenv-1-0-energy-grid-environment-for-multi-agent-reinforcement-learning-benchmarking\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Strona g\u0142\u00f3wna\",\"item\":\"https:\\\/\\\/www.ideas.edu.pl\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Publikacje\",\"item\":\"https:\\\/\\\/www.ideas.edu.pl\\\/publikacje\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"EnEnv 1.0: Energy Grid Environment for Multi-Agent Reinforcement Learning Benchmarking\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/#website\",\"url\":\"https:\\\/\\\/www.ideas.edu.pl\\\/\",\"name\":\"IDEAS Instytut Badawczy\",\"description\":\"Pa\u0144stwowa jednostka badawczo-naukowa\",\"publisher\":{\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/#organization\"},\"alternateName\":\"IDEAS\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/www.ideas.edu.pl\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/#organization\",\"name\":\"IDEAS Instytut Badawczy\",\"url\":\"https:\\\/\\\/www.ideas.edu.pl\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/www.ideas.edu.pl\\\/wp-content\\\/uploads\\\/e90241d6e73025d0d829abc28d67cb84.svg\",\"contentUrl\":\"https:\\\/\\\/www.ideas.edu.pl\\\/wp-content\\\/uploads\\\/e90241d6e73025d0d829abc28d67cb84.svg\",\"width\":152,\"height\":43,\"caption\":\"IDEAS Instytut Badawczy\"},\"image\":{\"@id\":\"https:\\\/\\\/www.ideas.edu.pl\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"EnEnv 1.0: Energy Grid Environment for Multi-Agent Reinforcement Learning Benchmarking &#8226; IDEAS Instytut Badawczy","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.ideas.edu.pl\/en\/publikacje\/enenv-1-0-energy-grid-environment-for-multi-agent-reinforcement-learning-benchmarking\/","og_locale":"en_US","og_type":"article","og_title":"EnEnv 1.0: Energy Grid Environment for Multi-Agent Reinforcement Learning Benchmarking &#8226; IDEAS Instytut Badawczy","og_description":"Multi-agent reinforcement learning (MARL) offers prospects of efficient control in large distributed systems such as complex energy grids. 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