malmoadm@microsoft.com<\/a>. We look forward to hearing from you.<\/p>\n","protected":false},"excerpt":{"rendered":"In Learning to Play: The Multi-Agent Reinforcement Learning in Malm\u00d6 (MARL\u00d6) Competition, we invited programmers into this digital world to help tackle multi-agent reinforcement learning. This challenge, the second competition using the Project Malmo platform, tasked participants with designing learning agents capable of collaborating with or competing against other agents to complete tasks across three different games within Minecraft.<\/p>\n","protected":false},"author":38022,"featured_media":568836,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"categories":[194467],"tags":[],"research-area":[13556],"msr-region":[197900],"msr-event-type":[],"msr-locale":[268875],"msr-post-option":[],"msr-impact-theme":[],"msr-promo-type":[],"msr-podcast-series":[],"class_list":["post-568788","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artifical-intelligence","msr-research-area-artificial-intelligence","msr-region-north-america","msr-locale-en_us"],"msr_event_details":{"start":"","end":"","location":""},"podcast_url":"","podcast_episode":"","msr_research_lab":[],"msr_impact_theme":[],"related-publications":[],"related-downloads":[],"related-videos":[],"related-academic-programs":[],"related-groups":[],"related-projects":[235753],"related-events":[],"related-researchers":[{"type":"user_nicename","value":"Noboru Sean Kuno","user_id":33122,"display_name":"Noboru Sean Kuno","author_link":"Noboru Sean Kuno<\/a>","is_active":false,"last_first":"Kuno, Noboru Sean","people_section":0,"alias":"nkuno"}],"msr_type":"Post","featured_image_thumbnail":"","byline":"Noboru Sean Kuno<\/a>","formattedDate":"February 22, 2019","formattedExcerpt":"In Learning to Play: The Multi-Agent Reinforcement Learning in Malm\u00d6 (MARL\u00d6) Competition, we invited programmers into this digital world to help tackle multi-agent reinforcement learning. 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