{"id":22040118,"url":"https://github.com/wilrop/ramo","last_synced_at":"2025-05-07T22:12:45.142Z","repository":{"id":39623458,"uuid":"447669051","full_name":"wilrop/ramo","owner":"wilrop","description":"Algorithms for computing or learning equilibria in multi-objective games","archived":false,"fork":false,"pushed_at":"2023-05-09T12:30:07.000Z","size":372,"stargazers_count":4,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-05-07T22:12:41.345Z","etag":null,"topics":["algorithmic-game-theory","game-theory","multi-agent","multi-objective","reinforcement-learning"],"latest_commit_sha":null,"homepage":"https://ramo.readthedocs.io/en/latest/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/wilrop.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2022-01-13T16:22:14.000Z","updated_at":"2023-11-24T10:32:59.000Z","dependencies_parsed_at":"2024-01-08T18:46:25.782Z","dependency_job_id":null,"html_url":"https://github.com/wilrop/ramo","commit_stats":null,"previous_names":["wilrop/mo-game-theory"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wilrop%2Framo","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wilrop%2Framo/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wilrop%2Framo/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wilrop%2Framo/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/wilrop","download_url":"https://codeload.github.com/wilrop/ramo/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252961843,"owners_count":21832198,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["algorithmic-game-theory","game-theory","multi-agent","multi-objective","reinforcement-learning"],"created_at":"2024-11-30T11:13:27.155Z","updated_at":"2025-05-07T22:12:45.116Z","avatar_url":"https://github.com/wilrop.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Ramo\nRamo is an algorithmic game theory framework offering a collection of algorithms and utilities for computing or learning (approximate) equilibria in multi-objective games.\n\nPlease visit [Ramo's docs](https://ramo.readthedocs.io/en/latest/) for a complete overview of the framework and its capabilities.\n\n## Installation\nInstalling Ramo is as easy as typing\n````python\npip install ramo\n````\n\nIf you would like to install from source, simply download this project as a zip file and place the folder at your desired location.\n\n## Contributing\nWe are building a library containing cutting edge research in multi-objective game theory. If you are working in this area and want to get involved, contributions are very welcome! Our focus is specifically on multi-objective games, but single-objective contributions are also welcome. If you are considering contributing, please send me a message (willem.ropke@vub.be) so we can discuss how to move forward.\n\n## Citation\nTo cite the usage of this repository please use the following:\n```\n@misc{ropke2022ramo,\n  author = {Willem Röpke},\n  title = {Ramo: Rational Agents with Multiple Objectives},\n  year = {2022},\n  publisher = {GitHub},\n  journal = {GitHub repository},\n  howpublished = {\\url{https://github.com/wilrop/mo-game-theory}},\n}\n```\nThis repository contains (derivatives of) original work that has been published elsewhere. We present a complete overview of which algorithms come from which work in [references.md](references.md).\n\n## License\nThis project is licensed under the terms of the MIT license.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwilrop%2Framo","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fwilrop%2Framo","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwilrop%2Framo/lists"}