{"id":27696722,"url":"https://github.com/aprimadi/deep-rl-imitation","last_synced_at":"2026-04-29T01:32:34.749Z","repository":{"id":39737826,"uuid":"181949914","full_name":"aprimadi/deep-rl-imitation","owner":"aprimadi","description":"Deep Reinforcement Learning - Imitation Learning","archived":false,"fork":false,"pushed_at":"2022-12-08T04:59:46.000Z","size":723,"stargazers_count":3,"open_issues_count":7,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2026-04-07T16:41:25.821Z","etag":null,"topics":["behavioral-cloning","dagger","deep-reinforcement-learning","imitation-learning","tensorflow"],"latest_commit_sha":null,"homepage":null,"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/aprimadi.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}},"created_at":"2019-04-17T18:47:32.000Z","updated_at":"2023-03-05T04:11:13.000Z","dependencies_parsed_at":"2022-08-28T06:40:14.154Z","dependency_job_id":null,"html_url":"https://github.com/aprimadi/deep-rl-imitation","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/aprimadi/deep-rl-imitation","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aprimadi%2Fdeep-rl-imitation","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aprimadi%2Fdeep-rl-imitation/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aprimadi%2Fdeep-rl-imitation/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aprimadi%2Fdeep-rl-imitation/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/aprimadi","download_url":"https://codeload.github.com/aprimadi/deep-rl-imitation/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aprimadi%2Fdeep-rl-imitation/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32407164,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-28T19:38:08.556Z","status":"ssl_error","status_checked_at":"2026-04-28T19:37:55.688Z","response_time":56,"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":["behavioral-cloning","dagger","deep-reinforcement-learning","imitation-learning","tensorflow"],"created_at":"2025-04-25T15:12:39.591Z","updated_at":"2026-04-29T01:32:34.734Z","avatar_url":"https://github.com/aprimadi.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Imitation Learning\n\nDependencies:\n * Python **3.5**\n * Numpy version **1.14.5**\n * TensorFlow version **1.10.5**\n * MuJoCo version **1.50** and mujoco-py **1.50.1.56**\n * OpenAI Gym version **0.10.5**\n\nOnce Python **3.5** is installed, you can install the remaining dependencies using `pip install -r requirements.txt`.\n\n**Note**: MuJoCo versions until 1.5 do not support NVMe disks therefore won't be compatible with recent Mac machines.\nThere is a request for OpenAI to support it that can be followed [here](https://github.com/openai/gym/issues/638).\n\nIn `experts/`, the provided expert policies are:\n* Ant-v2.pkl\n* HalfCheetah-v2.pkl\n* Hopper-v2.pkl\n* Humanoid-v2.pkl\n* Reacher-v2.pkl\n* Walker2d-v2.pkl\n\nThe name of the pickle file corresponds to the name of the gym environment.\n\n## Running test\n\n```\npytest\n```\n\nWith coverage:\n\n```\ncoverage run -m pytest\ncoverage html\n```","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faprimadi%2Fdeep-rl-imitation","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faprimadi%2Fdeep-rl-imitation","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faprimadi%2Fdeep-rl-imitation/lists"}