{"id":50194458,"url":"https://github.com/himelbrand/marl-qtran","last_synced_at":"2026-05-25T16:08:37.305Z","repository":{"id":92837820,"uuid":"334655559","full_name":"himelbrand/marl-qtran","owner":"himelbrand","description":"An implementation of QTRAN algorithm for Multiagent Reinforcement Learning.","archived":false,"fork":false,"pushed_at":"2021-06-16T14:18:55.000Z","size":19847,"stargazers_count":5,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2024-01-28T21:39:59.317Z","etag":null,"topics":["multiagent-reinforcement-learning","reinforcement-learning","reinforcement-learning-algorithms"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/himelbrand.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2021-01-31T12:58:15.000Z","updated_at":"2022-04-08T12:15:07.000Z","dependencies_parsed_at":"2023-03-09T19:45:26.406Z","dependency_job_id":null,"html_url":"https://github.com/himelbrand/marl-qtran","commit_stats":{"total_commits":25,"total_committers":2,"mean_commits":12.5,"dds":"0.040000000000000036","last_synced_commit":"75b88d05f9f221bdfdc0f4f5a2e0b30bd8cf2a51"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/himelbrand/marl-qtran","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/himelbrand%2Fmarl-qtran","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/himelbrand%2Fmarl-qtran/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/himelbrand%2Fmarl-qtran/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/himelbrand%2Fmarl-qtran/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/himelbrand","download_url":"https://codeload.github.com/himelbrand/marl-qtran/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/himelbrand%2Fmarl-qtran/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33482552,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-25T14:31:05.219Z","status":"ssl_error","status_checked_at":"2026-05-25T14:31:02.878Z","response_time":57,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["multiagent-reinforcement-learning","reinforcement-learning","reinforcement-learning-algorithms"],"created_at":"2026-05-25T16:08:33.808Z","updated_at":"2026-05-25T16:08:37.293Z","avatar_url":"https://github.com/himelbrand.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Multiagent Reinforcment learning - QTRAN\n\nThis repository is an implementation of [QTRAN](https://arxiv.org/pdf/1905.05408.pdf) paper to play 2 games from the [@PettingZoo](https://github.com/PettingZoo-Team/PettingZoo) project which provides Multiagent enviorments for reinforcment learning.\n\n## The two games are\n* [Pistonball](https://www.pettingzoo.ml/butterfly/pistonball)\n* [KAZ](https://www.pettingzoo.ml/butterfly/knights_archers_zombies)\n\n\n## The Architecture Visualized\n![img1](https://drive.google.com/uc?export=view\u0026id=1L62gverInlESp_4Ne6OeiOYxPQBKF97Z)\n\n![img2](https://drive.google.com/uc?export=view\u0026id=1q4wUwTh2LHax4Jw3wWiygX0QxSqw9MMA)\n\n### Note that this readme is still a WIP\n\nPlus the code files needs some rearranging\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhimelbrand%2Fmarl-qtran","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhimelbrand%2Fmarl-qtran","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhimelbrand%2Fmarl-qtran/lists"}