{"id":19176583,"url":"https://github.com/jldbc/bandits","last_synced_at":"2025-05-07T19:24:03.279Z","repository":{"id":100930366,"uuid":"224922939","full_name":"jldbc/bandits","owner":"jldbc","description":"Multi-Armed Bandit algorithms applied to the MovieLens 20M dataset","archived":false,"fork":false,"pushed_at":"2020-08-09T05:57:24.000Z","size":5049,"stargazers_count":56,"open_issues_count":0,"forks_count":17,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-04-20T01:33:12.609Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","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/jldbc.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,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-11-29T21:14:14.000Z","updated_at":"2024-11-01T04:39:49.000Z","dependencies_parsed_at":"2023-06-10T22:00:06.853Z","dependency_job_id":null,"html_url":"https://github.com/jldbc/bandits","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jldbc%2Fbandits","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jldbc%2Fbandits/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jldbc%2Fbandits/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jldbc%2Fbandits/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jldbc","download_url":"https://codeload.github.com/jldbc/bandits/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252942110,"owners_count":21829002,"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":[],"created_at":"2024-11-09T10:29:10.867Z","updated_at":"2025-05-07T19:24:03.256Z","avatar_url":"https://github.com/jldbc.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Multi-Armed Bandits\n\nImplementations of UCB1, Bayesian UCB, Epsilon Greedy, and EXP3 bandit algorithms on the Movielens-20m dataset. Algorithms are evaluated offline using replay. \n\nTo reproduce: \n\n```\ngit clone https://github.com/jldbc/bandits\ncd bandits/bandits\nbash run.sh\n```\n\n[Experiment setup details](https://jamesrledoux.com/algorithms/offline-bandit-evaluation/)\n\n[Impementation details and results](https://jamesrledoux.com/algorithms/bandit-algorithms-epsilon-ucb-exp-python/)\n\nFinal results:\n\n\u003cimg src=\"/results/final_bandit_results.png\" alt\u003e","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjldbc%2Fbandits","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjldbc%2Fbandits","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjldbc%2Fbandits/lists"}