{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"IC3Net","owner":"IC3Net","isFork":false,"description":"Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks","allTopics":["reinforcement-learning","communication","pytorch","multiagent","multiagent-systems"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":5,"issueCount":5,"starsCount":208,"forksCount":49,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-10-03T21:34:14.201Z"}}],"repositoryCount":1,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"IC3Net repositories"}