{"id":21022549,"url":"https://github.com/alro10/meta-learning-resources","last_synced_at":"2026-05-20T06:37:37.678Z","repository":{"id":121033017,"uuid":"186731319","full_name":"Alro10/meta-learning-resources","owner":"Alro10","description":"A curated list of meta-learning resources: papers, coding, tutorials, etc.","archived":false,"fork":false,"pushed_at":"2019-12-02T12:55:28.000Z","size":133,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-11-20T14:10:15.067Z","etag":null,"topics":["deep-reinforcement-learning","meta-learning","reinforcement-learning"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Alro10.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":"2019-05-15T02:01:13.000Z","updated_at":"2022-10-23T07:54:04.000Z","dependencies_parsed_at":"2024-01-15T03:41:36.503Z","dependency_job_id":null,"html_url":"https://github.com/Alro10/meta-learning-resources","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Alro10/meta-learning-resources","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Alro10%2Fmeta-learning-resources","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Alro10%2Fmeta-learning-resources/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Alro10%2Fmeta-learning-resources/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Alro10%2Fmeta-learning-resources/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Alro10","download_url":"https://codeload.github.com/Alro10/meta-learning-resources/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Alro10%2Fmeta-learning-resources/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28124443,"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":"2025-12-30T02:00:05.476Z","response_time":64,"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":["deep-reinforcement-learning","meta-learning","reinforcement-learning"],"created_at":"2024-11-19T11:12:45.715Z","updated_at":"2025-12-30T07:03:22.809Z","avatar_url":"https://github.com/Alro10.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Meta-Learning Resources\nA curated list of meta-learning papers, code, tutorials, etc.\n\nUnder developing!\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://github.com/Alro10/Meta-Learning-Resources/blob/master/maml.png\" alt=\"alt text\" width=\"60%\" height=\"40%\"\u003e\n\u003c/p\u003e\n\n*Figure by BAIR Lab*\n\n## [Table of Contents]()\n\n* [Papers](#Papers)\n* [Tutorials](#Tutorials)\n* [Code](#Resources)\n\n\n## Papers\n\n### 2019\n\n- [Meta-Learning of Neural Architectures for Few-Shot Learning](https://arxiv.org/pdf/1911.11090.pdf)\n\n  - Thomas Elsken, et al.\n  - not yet\n\n- [Meta-Q-Learning](https://arxiv.org/pdf/1910.00125.pdf)\n\n  - Code-not yet\n  - Rasool Fakoor, et al.\n\n- [Meta-Learning with Implicit Gradients](https://arxiv.org/pdf/1909.04630.pdf) **NeurIPS 2019. First two authors contributed equally**\n\n  - Aravind Rajeswaran, Chelsea Finn, Sham Kakade, Sergey Levine. \n  - Code- not yet\n\n- [Metalearned Neural Memory](https://arxiv.org/abs/1907.09720).\n\n  - Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler.\n  - Code- not yet\n\n- [Meta-Transfer Learning for Few-Shot Learning](https://arxiv.org/abs/1812.02391). **CVPR 2019**\n\n  - Qianru Sun, Yaoyao Liu, Tat-Seng Chua, Bernt Schiele.\n  - [[Code-TensorFlow](https://github.com/y2l/meta-transfer-learning-tensorflow)]\n  - [[Code-Pytorch](git@github.com:Alro10/meta-learning-resources.git)]\n\n- [Meta-learning with differentiable closed-form solvers](https://arxiv.org/abs/1805.08136). **ICLR 2019**\n\n  - Luca Bertinetto, João F. Henriques, Philip H.S. Torr, Andrea Vedaldi.\n  - [[Code](https://github.com/bertinetto/r2d2)]\n\n- [Meta reinforcement learning as task inference](https://arxiv.org/abs/1905.06424). **DeepMind**\n\n  - Jan Humplik, Alexandre Galashov, LeonardDeepMind Hasenclever, Pedro A. Ortega, Yee Whye Teh, Nicolas Heess.\n\n### 2018\n\n\n- [Meta-Reinforcement Learning of Structured Exploration Strategies](https://papers.nips.cc/paper/7776-meta-reinforcement-learning-of-structured-exploration-strategies.pdf). **NeurIPS 2018**\n\n  - Abhishek Gupta, Russell Mendonca, YuXuan Liu, Pieter Abbeel, Sergey Levine.\n\n### 2017\n\n- [Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks](https://arxiv.org/abs/1703.03400). **ICML 2017**\n\n  - Chelsea Finn, Pieter Abbeel, Sergey Levine.\n  - [[Code](https://github.com/cbfinn/maml)]\n\n## Code\n\n- [TensorFlow 2.0 implementation of MAML](https://github.com/mari-linhares/tensorflow-maml)  by Marianne Linhares.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falro10%2Fmeta-learning-resources","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Falro10%2Fmeta-learning-resources","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falro10%2Fmeta-learning-resources/lists"}