{"id":31173292,"url":"https://github.com/mit-acl/gym-collision-avoidance","last_synced_at":"2025-09-19T12:49:44.538Z","repository":{"id":38298792,"uuid":"241484799","full_name":"mit-acl/gym-collision-avoidance","owner":"mit-acl","description":null,"archived":false,"fork":false,"pushed_at":"2023-04-28T18:18:24.000Z","size":19789,"stargazers_count":240,"open_issues_count":2,"forks_count":74,"subscribers_count":6,"default_branch":"release","last_synced_at":"2024-06-17T22:48:41.464Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"OpenEdge ABL","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/mit-acl.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":"2020-02-18T22:52:24.000Z","updated_at":"2024-05-27T03:54:00.000Z","dependencies_parsed_at":"2023-12-16T21:09:25.296Z","dependency_job_id":"99a146ac-526a-4b25-b4fd-373ea5b09a1f","html_url":"https://github.com/mit-acl/gym-collision-avoidance","commit_stats":{"total_commits":228,"total_committers":7,"mean_commits":32.57142857142857,"dds":"0.030701754385964897","last_synced_commit":"903564097509e3fbdbbb850a3a89729a28377b81"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/mit-acl/gym-collision-avoidance","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mit-acl%2Fgym-collision-avoidance","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mit-acl%2Fgym-collision-avoidance/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mit-acl%2Fgym-collision-avoidance/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mit-acl%2Fgym-collision-avoidance/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mit-acl","download_url":"https://codeload.github.com/mit-acl/gym-collision-avoidance/tar.gz/refs/heads/release","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mit-acl%2Fgym-collision-avoidance/sbom","scorecard":{"id":650083,"data":{"date":"2025-08-11","repo":{"name":"github.com/mit-acl/gym-collision-avoidance","commit":"903564097509e3fbdbbb850a3a89729a28377b81"},"scorecard":{"version":"v5.2.1-40-gf6ed084d","commit":"f6ed084d17c9236477efd66e5b258b9d4cc7b389"},"score":2.8,"checks":[{"name":"Code-Review","score":0,"reason":"Found 1/29 approved changesets -- score normalized to 0","details":null,"documentation":{"short":"Determines if the project requires human code review before pull requests (aka merge requests) are merged.","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#code-review"}},{"name":"Token-Permissions","score":-1,"reason":"No tokens found","details":null,"documentation":{"short":"Determines if the project's workflows follow the principle of least privilege.","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#token-permissions"}},{"name":"Dangerous-Workflow","score":-1,"reason":"no workflows found","details":null,"documentation":{"short":"Determines if the project's GitHub Action workflows avoid dangerous patterns.","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#dangerous-workflow"}},{"name":"Packaging","score":-1,"reason":"packaging workflow not detected","details":["Warn: no GitHub/GitLab publishing workflow detected."],"documentation":{"short":"Determines if the project is published as a package that others can easily download, install, easily update, and uninstall.","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#packaging"}},{"name":"Maintained","score":0,"reason":"0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0","details":null,"documentation":{"short":"Determines if the project is \"actively maintained\".","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#maintained"}},{"name":"Binary-Artifacts","score":10,"reason":"no binaries found in the repo","details":null,"documentation":{"short":"Determines if the project has generated executable (binary) artifacts in the source repository.","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#binary-artifacts"}},{"name":"CII-Best-Practices","score":0,"reason":"no effort to earn an OpenSSF best practices badge detected","details":null,"documentation":{"short":"Determines if the project has an OpenSSF (formerly CII) Best Practices Badge.","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#cii-best-practices"}},{"name":"Vulnerabilities","score":10,"reason":"0 existing vulnerabilities detected","details":null,"documentation":{"short":"Determines if the project has open, known unfixed vulnerabilities.","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#vulnerabilities"}},{"name":"Security-Policy","score":0,"reason":"security policy file not detected","details":["Warn: no security policy file detected","Warn: no security file to analyze","Warn: no security file to analyze","Warn: no security file to analyze"],"documentation":{"short":"Determines if the project has published a security policy.","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#security-policy"}},{"name":"License","score":10,"reason":"license file detected","details":["Info: project has a license file: LICENSE:0","Info: FSF or OSI recognized license: MIT License: LICENSE:0"],"documentation":{"short":"Determines if the project has defined a license.","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#license"}},{"name":"Fuzzing","score":0,"reason":"project is not fuzzed","details":["Warn: no fuzzer integrations found"],"documentation":{"short":"Determines if the project uses fuzzing.","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#fuzzing"}},{"name":"Signed-Releases","score":-1,"reason":"no releases found","details":null,"documentation":{"short":"Determines if the project cryptographically signs release artifacts.","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#signed-releases"}},{"name":"Branch-Protection","score":0,"reason":"branch protection not enabled on development/release branches","details":["Warn: branch protection not enabled for branch 'release'"],"documentation":{"short":"Determines if the default and release branches are protected with GitHub's branch protection settings.","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#branch-protection"}},{"name":"Pinned-Dependencies","score":0,"reason":"dependency not pinned by hash detected -- score normalized to 0","details":["Warn: pipCommand not pinned by hash: install.sh:13","Warn: pipCommand not pinned by hash: install.sh:25","Warn: pipCommand not pinned by hash: install.sh:29","Info:   0 out of   3 pipCommand dependencies pinned"],"documentation":{"short":"Determines if the project has declared and pinned the dependencies of its build process.","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#pinned-dependencies"}},{"name":"SAST","score":0,"reason":"SAST tool is not run on all commits -- score normalized to 0","details":["Warn: 0 commits out of 2 are checked with a SAST tool"],"documentation":{"short":"Determines if the project uses static code analysis.","url":"https://github.com/ossf/scorecard/blob/f6ed084d17c9236477efd66e5b258b9d4cc7b389/docs/checks.md#sast"}}]},"last_synced_at":"2025-08-21T13:17:47.658Z","repository_id":38298792,"created_at":"2025-08-21T13:17:47.658Z","updated_at":"2025-08-21T13:17:47.658Z"},"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":275941640,"owners_count":25556977,"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","status":"online","status_checked_at":"2025-09-19T02:00:09.700Z","response_time":108,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":[],"created_at":"2025-09-19T12:49:41.054Z","updated_at":"2025-09-19T12:49:44.528Z","avatar_url":"https://github.com/mit-acl.png","language":"OpenEdge ABL","funding_links":[],"categories":[],"sub_categories":[],"readme":"# gym-collision-avoidance\n\nUpdates:\n- **2023-04-28:** Updated to be compatible with Python 3.10 and tensorflow 2. Corresponding v0.0.3 available on pypi as well, if you do not intend to modify the source code (`python -m pip install gym-collision-avoidance`)\n\n\u003cimg src=\"docs/_static/combo.gif\" alt=\"Agents spelling ``CADRL''\"\u003e\n\nThis is the code associated with the following publications:\n\n**Journal Version:** M. Everett, Y. Chen, and J. P. How, \"Collision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement Learning\", IEEE Access Vol. 9, 2021, pp. 10357-10377. [10.1109/ACCESS.2021.3050338](http://doi.org/10.1109/ACCESS.2021.3050338), [Arxiv PDF](https://arxiv.org/abs/1910.11689)\n\n**Conference Version:** M. Everett, Y. Chen, and J. P. How, \"Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning\", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018. [Arxiv PDF](https://arxiv.org/abs/1805.01956), [Link to Video](https://www.youtube.com/watch?v=XHoXkWLhwYQ)\n\nThis repo also contains the trained policy for the SA-CADRL paper (referred to as CADRL here) from the proceeding paper: Y. Chen, M. Everett, M. Liu, and J. P. How. “Socially Aware Motion Planning with Deep Reinforcement Learning.” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Vancouver, BC, Canada, Sept. 2017. [Arxiv PDF](https://arxiv.org/abs/1703.08862)\n\nIf you're looking to train our GA3C-CADRL policy, please see [this repo](https://github.com/mit-acl/rl_collision_avoidance) instead.\n\n---\n\n### About the Code\n\nPlease see [the documentation](https://gym-collision-avoidance.readthedocs.io/en/latest/)!\n\n### If you find this code useful, please consider citing:\n\n```\n@inproceedings{Everett18_IROS,\n  address = {Madrid, Spain},\n  author = {Everett, Michael and Chen, Yu Fan and How, Jonathan P.},\n  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},\n  date-modified = {2018-10-03 06:18:08 -0400},\n  month = sep,\n  title = {Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning},\n  year = {2018},\n  url = {https://arxiv.org/pdf/1805.01956.pdf},\n  bdsk-url-1 = {https://arxiv.org/pdf/1805.01956.pdf}\n}\n```\n\nor\n\n```\n@article{everett2021collision,\n  title={Collision avoidance in pedestrian-rich environments with deep reinforcement learning},\n  author={Everett, Michael and Chen, Yu Fan and How, Jonathan P},\n  journal={IEEE Access},\n  volume={9},\n  pages={10357--10377},\n  year={2021},\n  publisher={IEEE}\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmit-acl%2Fgym-collision-avoidance","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmit-acl%2Fgym-collision-avoidance","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmit-acl%2Fgym-collision-avoidance/lists"}