{"id":13400403,"url":"https://github.com/openai/imitation","last_synced_at":"2025-04-04T20:14:49.226Z","repository":{"id":84235673,"uuid":"60875611","full_name":"openai/imitation","owner":"openai","description":" Code for the paper \"Generative Adversarial Imitation Learning\"","archived":false,"fork":false,"pushed_at":"2018-11-22T00:39:47.000Z","size":31181,"stargazers_count":706,"open_issues_count":10,"forks_count":193,"subscribers_count":178,"default_branch":"master","last_synced_at":"2025-03-28T19:09:54.112Z","etag":null,"topics":["paper"],"latest_commit_sha":null,"homepage":"https://arxiv.org/abs/1606.03476","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/openai.png","metadata":{"files":{"readme":"README.rst","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}},"created_at":"2016-06-10T20:40:03.000Z","updated_at":"2025-03-19T15:00:30.000Z","dependencies_parsed_at":"2023-05-24T02:30:48.877Z","dependency_job_id":null,"html_url":"https://github.com/openai/imitation","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/openai%2Fimitation","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/openai%2Fimitation/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/openai%2Fimitation/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/openai%2Fimitation/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/openai","download_url":"https://codeload.github.com/openai/imitation/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247242680,"owners_count":20907134,"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":["paper"],"created_at":"2024-07-30T19:00:51.658Z","updated_at":"2025-04-04T20:14:49.204Z","avatar_url":"https://github.com/openai.png","language":"Python","funding_links":[],"categories":["Python","Codes"],"sub_categories":[],"readme":"**Status:** Archive (code is provided as-is, no updates expected)\n\n=========================================\nGenerative Adversarial Imitation Learning\n=========================================\n-----------------------------------------\nJonathan Ho and Stefano Ermon\n-----------------------------------------\n\nContains an implementation of Trust Region Policy Optimization (Schulman et al., 2015).\n\nDependencies:\n\n* OpenAI Gym \u003e= 0.1.0, mujoco_py \u003e= 0.4.0\n* numpy \u003e= 1.10.4, scipy \u003e= 0.17.0, theano \u003e= 0.8.2\n* h5py, pytables, pandas, matplotlib\n\nProvided files:\n\n* ``expert_policies/*`` are the expert policies, trained by TRPO (``scripts/run_rl_mj.py``) on the true costs\n* ``scripts/im_pipeline.py`` is the main training and evaluation pipeline. This script is responsible for sampling data from experts to generate training data, running the training code (``scripts/imitate_mj.py``), and evaluating the resulting policies.\n* ``pipelines/*`` are the experiment specifications provided to ``scripts/im_pipeline.py``\n* ``results/*`` contain evaluation data for the learned policies\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fopenai%2Fimitation","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fopenai%2Fimitation","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fopenai%2Fimitation/lists"}