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`http://bit.ly/drlndlinks`Please Insert > Row and add new links freely
PUBLIC SHARED DOCUMENT - Please respect the audience and don't rename the original (make a copy first!)
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Deep Reinforcement Learning Nanodegree Links
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Deep Reinforcement Learning Nanodegree Links*LinkComments * NOTE: This is a community effort, NOT official Udacity content.
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Deep Reinforcement Learning Nanodegree Links*Deep Reinforcement Learning Online Course | Udacity
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Deep Reinforcement Learning Online Course | Udacity
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ForumsUdacity Forums
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Forumshttps://calendar.google.com/calendar/embed?src=knowlabs.com_gu20ftpeljmm1u9evmtn8vum1k@group.calendar.google.com&ctz=America/Los_Angeles
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Textbook: Reinforcement Learning: An Introduction - second edition - by Richard S. Sutton and Andrew G. Barto
https://s3-us-west-1.amazonaws.com/udacity-drlnd/bookdraft2018.pdf
https://github.com/ShangtongZhang/reinforcement-learning-an-introduction
https://drive.google.com/file/d/1xeUDVGWGUUv1-ccUMAZHJLej2C7aAFWY/view
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githubhttps://github.com/udacity/deep-reinforcement-learning
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Special Topics: Dynamic Programming8 Hours of Extracurricular Content here!
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Special Topics: Dynamic ProgrammingDRLND Leaderboard
<<< Add your best project scores and write ups here
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openai / gym Leaderboardhttps://github.com/openai/gym/wiki/Leaderboard
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openai / gym Leaderboardhttps://waffle.io/udacity/drlnd-issues-tracker
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ZenDeskhttps://udacity.zendesk.com/hc/en-us/requests/new
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Site Status updateshttps://twitter.com/udacity
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Deadlines (P1: Aug 28, P2: Oct 16, P3: Oct 30, Term ends: Oct 30)https://classroom.udacity.com/nanodegrees/nd893/parts/8f607726-757e-4ef5-8b64-f2368755b89a/modules/a85374fa-6a60-425b-a480-85b211c5bd5d/lessons/cbd125cd-6d16-439c-b902-1956b49ef495/concepts/3b66d3d3-b276-4e60-bb5a-72dce4805dcc
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https://review.udacity.com/#!/rubrics/1889/view
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 Project 2 rubrichttps://review.udacity.com/#!/rubrics/1890/viewhttps://youtu.be/2N9EoF6pQyEhttps://github.com/Unity-Technologies/ml-agents/blob/master/docs/Learning-Environment-Examples.md#reacher
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Sections below: Articles | Blogs | Books | Cartoons | Cheatsheets | Cloud | Conferences | Community | Competitions | Courses | Github | Glossary | Infographics | Jobs | Notebooks | Papers | Patents | Slides | Tools | Videos
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Sections below: Articles | Blogs | Books | Cartoons | Cheatsheets | Cloud | Conferences | Community | Competitions | Courses | Github | Glossary | Infographics | Jobs | Notebooks | Papers | Patents | Slides | Tools | Videos
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Articles
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Reinforcement Learning Doesn't Work Yet. https://www.alexirpan.com/2018/02/14/rl-hard.html
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Why RL is flawedhttps://thegradient.pub/why-rl-is-flawed/
RL works when problem is deterministic, discrete, static, fully observable, fully-known, single-agent, episodic, cheap and easy to simulate, easy to score
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How to fix RL https://thegradient.pub/how-to-fix-rl/
Combine reinforcement learning and meta learning - meta-reinforcement learning
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Evolution Strategies as a Scalable Alternative to Reinforcement Learninghttps://blog.acolyer.org/
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Evolutionary algorithm outperforms deep-learning machines at video gameshttps://www.technologyreview.com/s/611568/evolutionary-algorithm-outperforms-deep-learning-machines-at-video-games/
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Reinforcement Learning or Evolutionary Strategies? Nature has a solution: Both.https://medium.com/beyond-intelligence/reinforcement-learning-or-evolutionary-strategies-nature-has-a-solution-both-8bc80db539b3
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Metacarhttps://www.metacar-project.com/
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The Essential Guide to Training Datahttps://visit.figure-eight.com/rs/416-ZBE-142/images/The%20Essential%20Guide%20to%20Training%20Data.pdf
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Machine Learning for Humanshttps://www.dropbox.com/s/e38nil1dnl7481q/machine_learning.pdf?dl=0
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Math for Deep Learninghttp://leiluoray.com/2018/08/29/Deep-Learning-Math/
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Dreaming about Drivinghttps://wayve.ai/blog/dreaming-about-driving-imagination-rl
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How To Learn Data Science If You’re Brokehttps://towardsdatascience.com/how-to-learn-data-science-if-youre-broke-7ecc408b53c7
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Beyond DQN/A3C: A Survey in Advanced Reinforcement Learninghttps://towardsdatascience.com/advanced-reinforcement-learning-6d769f529eb3Deep RL models are really hard to train, period.
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How to rapidly test dozens of deep learning models in Pythonhttps://towardsdatascience.com/how-to-rapidly-test-dozens-of-deep-learning-models-in-python-cb839b518531
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How the Lottery Ticket Hypothesis is Challenging Everything we Knew About Training Neural Networkshttps://towardsdatascience.com/how-the-lottery-ticket-hypothesis-is-challenging-everything-we-knew-about-training-neural-networks-e56da4b0da27
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Blogs
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Blogshttps://medium.com/@yuxili/resources-for-deep-reinforcement-learning-a5fdf2dc730fOver 120 links ...
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My Curated List of AI and Machine Learning Resources from Around the Webhttps://medium.com/machine-learning-in-practice/my-curated-list-of-ai-and-machine-learning-resources-from-around-the-web-9a97823b8524
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DeepMindhttps://deepmind.com/blog/
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 - Open sourcing TRFL: a library of reinforcement learning building blockshttps://deepmind.com/blog/trfl/https://github.com/deepmind/trfl/
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OpenAIhttps://blog.openai.com/see OpenAI tab
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 - Reinforcement Learning with Prediction-Based Rewardshttps://blog.openai.com/reinforcement-learning-with-prediction-based-rewards/
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 - Spinning Up in Deep RLhttps://blog.openai.com/spinning-up-in-deep-rl/
Includes examples of RL code, educational exercises, documentation, and tutorials
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Tensorflowhttps://medium.com/@tensorflow
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The Gradienthttps://thegradient.pub/Stanford Artificial Intelligence Laboratory (SAIL)Deep Reinforcement Learning
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UC Berkeley AI Researchhttp://bair.berkeley.edu/blog/
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Andrej Karpathy blog (older)http://karpathy.github.io/
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Deep Reinforcement Learning: Pong from Pixelshttp://karpathy.github.io/2016/05/31/rl/
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Andrej Karpathy blog (newer)https://medium.com/@karpathy/30K followers
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Richard S. Suttonhttp://incompleteideas.net/
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Moritz Hardthttp://blog.mrtz.org/
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Adrian Colyer: the morning paperhttps://blog.acolyer.org/
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Towards Data Sciencehttps://towardsdatascience.com/
Now featuring one of our own: Partha Pratim Neog
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 - What’s New in Deep Learning Research: Stronger Learning with Differentiable Plasticityhttps://towardsdatascience.com/whats-new-in-deep-learning-research-stronger-learning-with-differentiable-plasticity-9b793a5e3da3
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Algorithmiahttps://blog.algorithmia.com/introduction-to-reinforcement-learning/
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Locally Optimistic: The Blacker the Boxhttps://www.locallyoptimistic.com/post/the-blacker-the-box/
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Devan Stormonthttps://voyageintech.com/DRLND Student
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Google AI Bloghttps://ai.googleblog.com/
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Google Developershttps://developers.googleblog.com/
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 - Rules of Machine Learning: Best Practices for ML Engineeringhttps://developers.google.com/machine-learning/guides/rules-of-ml
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 - Google Developers Launchpad introduces The Lever, sharing applied-Machine Learning best practiceshttps://developers.googleblog.com/2018/08/google-developers-launchpad-introduces.html
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The Leverhttps://medium.com/the-lever
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The 5 Best Machine Learning GitHub Repositories & Reddit Threads from August 2018https://www.analyticsvidhya.com/blog/2018/09/best-machine-learning-github-repositories-reddit-threads-august-2018/
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Synced: AI Industry & Technology Reviewhttps://syncedreview.com/
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Facebook accelerates AI development with new partners and production capabilities for PyTorch 1.0https://code.fb.com/ai-research/facebook-accelerates-ai-development-with-new-partners-and-production-capabilities-for-pytorch-1-0/PyTorch 1.0
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RL — The Math behind TRPO & PPOhttps://medium.com/@jonathan_hui/rl-the-math-behind-trpo-ppo-d12f6c745f33
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Adventures in Unity ML-Agentshttp://adventuresinunitymlagents.com/
By Mike Richardson and Patrick Nalepka of DRLND
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Rl series from Unity Staffhttps://medium.com/emergent-future/simple-reinforcement-learning-with-tensorflow-part-0-q-learning-with-tables-and-neural-networks-d195264329d0
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Books
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Deep Reinforcement Learning Hands-OnReinforcement Learning Nanodegree program students are eligible for complimentary Amazon Web Services (AWS) Promotional Credits to explore AWS services.
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Grokking Deep Reinforcement LearningPlease check out the lessonhttps://github.com/mimoralea/gdrl
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The Definitive C++ Book Guide and List
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Multi-Agent Machine Learning: A Reinforcement Approachpip install muj
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Cartoons
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Intuitive RL: Intro to Advantage-Actor-Critic (A2C)https://hackernoon.com/intuitive-rl-intro-to-advantage-actor-critic-a2c-4ff545978752
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Cheatsheets
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Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Datahttps://becominghuman.ai/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data-678c51b4b463
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C++ Python Cheatsheethttps://d17h27t6h515a5.cloudfront.net/topher/2018/January/5a4d862b_c-python-cheatsheet/c-python-cheatsheet.pdf
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Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Datahttps://becominghuman.ai/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data-678c51b4b463
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Cloud
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List of Deep Learning Cloud Service Providershttps://towardsdatascience.com/list-of-deep-learning-cloud-service-providers-579f2c769ed630 providers listed
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Tenzarhttps://www.tenzar.com/
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Floydhubhttps://www.floydhub.com/Creating a 'Run on FloydHub' Button:https://docs.floydhub.com/guides/run_on_floydhub_button/
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Seedbankhttp://tools.google.com/seedbank/
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TensorFlow Hubhttp://tools.google.com/seedbank/
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Google AutoMLhttps://cloud.google.com/automl/
Train high-quality custom machine learning models with minimum effort and machine learning expertise.
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Nimbleboxhttps://nimblebox.ai/
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VectorDashhttps://vectordash.com/
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Vast AIhttps://www.vast.aiLow cost GPU instances
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Conferences
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NIPS 2017 - videoshttps://www.facebook.com/pg/nipsfoundation/videos/?ref=page_internal
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ICML 2018 - Stockholm - July 10 -15, 2018https://medium.com/@jianzhang_23841/a-comprehensive-summary-and-categorization-on-reinforcement-learning-papers-at-icml-2018-787f899b14cb
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Artificial Intelligence Conference - San Francisco - Sep 5-7, 2018 - $1895+https://conferences.oreilly.com/artificial-intelligence/ai-ca/public/register
https://www.youtube.com/watch?v=0f5ytRgDM7g&list=PL055Epbe6d5ZASsS-3ZhEWZJAqeIwe-If