{"id":22202480,"url":"https://github.com/Twinklstar/Deep-Reinforement-Learning","last_synced_at":"2025-07-29T04:31:32.845Z","repository":{"id":263167503,"uuid":"889563777","full_name":"NIN0vATI0N/Deep-Reinforement-Learning","owner":"NIN0vATI0N","description":"A repository for learning deep reinforcement learning","archived":false,"fork":false,"pushed_at":"2024-11-16T19:23:06.000Z","size":886,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"trunk","last_synced_at":"2024-12-02T16:28:03.467Z","etag":null,"topics":["ai","algorithms","deep-reinforcement-learning","gymnasium","neural-network","pytorch","reinforcement-learning","reinforcement-learning-agent","reinforcement-learning-environments","simulation"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/NIN0vATI0N.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,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-11-16T16:42:20.000Z","updated_at":"2024-11-16T19:23:09.000Z","dependencies_parsed_at":"2024-11-16T17:32:45.906Z","dependency_job_id":"77864512-9f51-49bf-a050-03e47a1fc8f5","html_url":"https://github.com/NIN0vATI0N/Deep-Reinforement-Learning","commit_stats":null,"previous_names":["nin0vati0n/deep-reinforement-learning"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NIN0vATI0N%2FDeep-Reinforement-Learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NIN0vATI0N%2FDeep-Reinforement-Learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NIN0vATI0N%2FDeep-Reinforement-Learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NIN0vATI0N%2FDeep-Reinforement-Learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/NIN0vATI0N","download_url":"https://codeload.github.com/NIN0vATI0N/Deep-Reinforement-Learning/tar.gz/refs/heads/trunk","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":227981804,"owners_count":17850912,"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":["ai","algorithms","deep-reinforcement-learning","gymnasium","neural-network","pytorch","reinforcement-learning","reinforcement-learning-agent","reinforcement-learning-environments","simulation"],"created_at":"2024-12-02T16:27:45.646Z","updated_at":"2025-07-29T04:31:27.468Z","avatar_url":"https://github.com/NIN0vATI0N.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Deep Reinforcement Learning\n\n![Intro to RL](https://raw.githubusercontent.com/NIN0vATI0N/Deep-Reinforement-Learning/trunk/assets/intro-to-rl-1.jpg)\n\nThis repository reflects my learning journey to master the depth of the reinforcement learning field.\n\n# Tech Stack\n\n* [Python v3.12.7](https://www.python.org/)\n* [Gymnasium](https://gymnasium.farama.org/)\n* [Numpy](https://numpy.org/)\n\nInstallation can be done with:\n```shell\npyenv install 3.12.7\npyenv virtualenv 3.12.7 drl\npyenv local drl\n\npip3 install gymnasium ipykernel matplotlib moviepy mpl_toolkits.clifford numpy pygame swig torch \n```\n\n# Materials\n\n| Notebook | Content |\n| -------- | ------- |\n| [00-DRL_Introduction.ipynb](./src/notebooks/00-DRL_Introduction.ipynb) | RL Fundamental Concepts and Algorithms |\n\n# Credits\n\n* Some concepts and exercises are taken from Udacity.\n* Some figures/images are taken from Udacity.\n\nShout out to them and please consider to take their Nano Degree program [Deep Reinforcement Learning](https://www.udacity.com/course/deep-reinforcement-learning-nanodegree--nd893).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FTwinklstar%2FDeep-Reinforement-Learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FTwinklstar%2FDeep-Reinforement-Learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FTwinklstar%2FDeep-Reinforement-Learning/lists"}