{"id":15655304,"url":"https://github.com/scitator/rl-intro","last_synced_at":"2025-05-04T07:25:22.092Z","repository":{"id":133293923,"uuid":"173416180","full_name":"Scitator/RL-intro","owner":"Scitator","description":null,"archived":false,"fork":false,"pushed_at":"2020-03-11T16:13:59.000Z","size":17993,"stargazers_count":23,"open_issues_count":1,"forks_count":5,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-05-01T18:07:40.514Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","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/Scitator.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,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-03-02T07:14:28.000Z","updated_at":"2023-08-21T19:54:40.000Z","dependencies_parsed_at":null,"dependency_job_id":"0ba4e105-e0e4-4647-aa8d-693f58b9a60c","html_url":"https://github.com/Scitator/RL-intro","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/Scitator%2FRL-intro","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Scitator%2FRL-intro/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Scitator%2FRL-intro/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Scitator%2FRL-intro/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Scitator","download_url":"https://codeload.github.com/Scitator/RL-intro/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252134297,"owners_count":21699689,"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":[],"created_at":"2024-10-03T12:57:52.853Z","updated_at":"2025-05-03T02:37:36.241Z","avatar_url":"https://github.com/Scitator.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## RL Intro\n\n\u003cdetails\u003e\n\u003csummary\u003e2019 edition - Gym intro, Genetics, CEM, Tabular DQN\u003c/summary\u003e\n\u003cp\u003e\n\n#### 0. Gym interface\n- `00-gym.ipynb` [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Scitator/rl-teaser/blob/master/2019/code/00-gym.ipynb)\n\n\n#### 1. Genetic algorithm\n- [slides](./2019/slides/01-genetics.pdf)\n- `01-genetics.ipynb` [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Scitator/rl-teaser/blob/master/2019/code/01-genetics.ipynb)\n\n##### Additional materials\n* __[recommended]__ - awesome openai post about evolution strategies - [blog post](https://blog.openai.com/evolution-strategies/), [article](https://arxiv.org/abs/1703.03864)\n* Video on genetic algorithms - https://www.youtube.com/watch?v=ejxfTy4lI6I\n* Another guide to genetic algorithm - https://www.youtube.com/watch?v=zwYV11a__HQ\n* PDF on Differential evolution - http://jvanderw.une.edu.au/DE_1.pdf\n* Video on Ant Colony Algorithm - https://www.youtube.com/watch?v=D58nLNLkb0I\n* Longer video on Ant Colony Algorithm - https://www.youtube.com/watch?v=xpyKmjJuqhk\n\n\n#### 2. Cross Entropy Method\n- [slides](./2019/slides/02-cem.pdf)\n- `02-cem.ipynb` [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Scitator/rl-teaser/blob/master/2019/code/02-cem.ipynb)\n\n##### Additional materials\n* __[main]__ Video-intro by David Silver - https://www.youtube.com/watch?v=2pWv7GOvuf0\n* Optional lecture by David Silver - https://www.youtube.com/watch?v=lfHX2hHRMVQ\n* __[recommended]__ - formal explanation of crossentropy method in [general](https://people.smp.uq.edu.au/DirkKroese/ps/CEEncycl.pdf) and for [optimization](https://people.smp.uq.edu.au/DirkKroese/ps/CEopt.pdf)\n\n\n#### 3. Tabular\n- [slides](./2019/slides/03-tabular.pdf)\n- `03-tabular.ipynb` [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Scitator/rl-teaser/blob/master/2019/code/03-tabular.ipynb)\n\n##### Additional materials\n* __[main]__ lecture by David Silver - [url](https://www.youtube.com/watch?v=Nd1-UUMVfz4)\n* Alternative lecture by Pieter Abbeel: [part 1](https://www.youtube.com/watch?v=i0o-ui1N35U), [part 2](https://www.youtube.com/watch?v=Csiiv6WGzKM)\n* Alternative lecture by John Schulmann: https://www.youtube.com/watch?v=IL3gVyJMmhg\n* Definitive guide in policy/value iteration from Sutton: start from page 81 [here](http://incompleteideas.net/sutton/book/bookdraft2017june19.pdf).\n\n\n#### 4. DQN\n- [slides](./2019/slides/04-dqn.pdf)\n- `04-dqn.ipynb` [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Scitator/rl-teaser/blob/master/2019/code/04-dqn.ipynb)\n\n##### Additional materials\n* Lecture by David Silver - [video part I](https://www.youtube.com/watch?v=PnHCvfgC_ZA), [video part II](https://www.youtube.com/watch?v=0g4j2k_Ggc4\u0026t=43s)\n* Alternative lecture by Pieter Abbeel - [video](https://www.youtube.com/watch?v=ifma8G7LegE)\n* Alternative lecture by John Schulmann - [video](https://www.youtube.com/watch?v=IL3gVyJMmhg)\n* Blog post on q-learning Vs SARSA - [url](https://studywolf.wordpress.com/2013/07/01/reinforcement-learning-sarsa-vs-q-learning/)\n* N-step temporal difference from Sutton's book - [suttonbook](http://incompleteideas.net/book/RLbook2018.pdf) __chapter 7__\n* Eligibility traces from Sutton's book - [suttonbook](http://incompleteideas.net/book/RLbook2018.pdf) __chapter 12__\n* Blog post on eligibility traces - [url](http://pierrelucbacon.com/traces/)\n\u003c/p\u003e\n\u003c/details\u003e\n\n\n\u003cdetails\u003e\n\u003csummary\u003e2020 edition - Deep RL, DQN, DDPG\u003c/summary\u003e\n\u003cp\u003e\n\n\u003c/p\u003e\n\u003c/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eCredits\u003c/summary\u003e\n\u003cp\u003e\n\n* [Berkeley CS188x](http://ai.berkeley.edu/home.html)\n* [David Silver's Reinforcement Learning Course](http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html)\n* [dennybritz/reinforcement-learning](https://github.com/dennybritz/reinforcement-learning)\n* [yandexdataschool/Practical_RL](https://github.com/yandexdataschool/Practical_RL)\n* [yandexdataschool/AgentNet](https://github.com/yandexdataschool/AgentNet)\n* [rl-course-experiments](https://github.com/Scitator/rl-course-experiments)\n* [RL-Adventure](https://github.com/higgsfield/RL-Adventure)\n* [RL-Adventure-2](https://github.com/higgsfield/RL-Adventure-2)\n\n\u003c/p\u003e\n\u003c/details\u003e","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fscitator%2Frl-intro","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fscitator%2Frl-intro","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fscitator%2Frl-intro/lists"}