Linking pages
- Why Can a Machine Beat Mario but not Pokemon? | by Shayaan Jagtap | Towards Data Science https://medium.com/@shayaan.jagtap/why-can-a-machine-beat-mario-but-not-pokemon-ff61313187e1 177 comments
- How much did AlphaGo Zero cost? https://www.yuzeh.com/data/agz-cost.html 175 comments
- Building Safe A.I. - i am trask https://iamtrask.github.io/2017/03/17/safe-ai/ 95 comments
- The Google Brain Team — Looking Back on 2016 – Google AI Blog https://research.googleblog.com/2017/01/the-google-brain-team-looking-back-on.html 61 comments
- Blockchains for Artificial Intelligence | by Trent McConaghy | Ocean Protocol https://blog.bigchaindb.com/blockchains-for-artificial-intelligence-ec63b0284984 60 comments
- Introducing Google Research Football: A Novel Reinforcement Learning Environment – Google AI Blog https://ai.googleblog.com/2019/06/introducing-google-research-football.html 29 comments
- The Promise of Hierarchical Reinforcement Learning https://thegradient.pub/the-promise-of-hierarchical-reinforcement-learning/ 25 comments
- Reinforcement Learning from scratch | by Emmanuel Ameisen | Insight https://blog.insightdatascience.com/reinforcement-learning-from-scratch-819b65f074d8 25 comments
- The Problem With AI: Machines Are Learning Things, But Can’t Understand Them https://www.howtogeek.com/394546/the-problem-with-ai-machines-are-learning-things-but-cant-understand-them/ 18 comments
- Introducing a New Framework for Flexible and Reproducible Reinforcement Learning Research – Google AI Blog https://ai.googleblog.com/2018/08/introducing-new-framework-for-flexible.html 17 comments
- 10 Machine Learning Methods that Every Data Scientist Should Know | by Jorge Castañón | Towards Data Science https://medium.com/p/10-machine-learning-methods-that-every-data-scientist-should-know-3cc96e0eeee9 14 comments
- Checking Code Style with Neural Networks | by Sam Gentle | The Prismatik https://blog.prismatik.com.au/checking-code-style-with-neural-networks-f9e7a05553e7 10 comments
- 10 Machine Learning Methods that Every Data Scientist Should Know | by Jorge Castañón | Towards Data Science https://towardsdatascience.com/10-machine-learning-methods-that-every-data-scientist-should-know-3cc96e0eeee9 9 comments
- Quis custodiet ipsos custodes?. Who will guard the guardians? | by Alethea AI Official Announcements | SingularityNET https://blog.singularitynet.io/quis-custodiet-ipsos-custodes-ae6585795521 7 comments
- Artificial Intelligence will Speak Its Own Language Soon | by Mike Krop | HackerNoon.com | Medium https://medium.com/@mikecorp/language-for-ai-74e349e64a74 6 comments
- The Google Brain Team — Looking Back on 2017 (Part 1 of 2) – Google AI Blog https://research.googleblog.com/2018/01/the-google-brain-team-looking-back-on.html 6 comments
- Introducing Huskarl: The Modular Deep Reinforcement Learning Framework | by TensorFlow | Medium https://medium.com/@tensorflow/introducing-huskarl-the-modular-deep-reinforcement-learning-framework-e47d4b228dd3 6 comments
- Learning Deep Learning with Keras http://p.migdal.pl/2017/04/30/teaching-deep-learning.html 5 comments
- Reinforcement Learning in the Wild and Lessons Learned | by Mohamad Charafeddine | Medium https://medium.com/@mohamadtweets/reinforcement-learning-in-the-wild-and-lessons-learned-c4b7aa04c3a5 5 comments
- Hold Your Machine Learning and AI Models Accountable | by Daniel Whitenack | Pachyderm Community Blog | Medium https://medium.com/pachyderm-data/hold-your-machine-learning-and-ai-models-accountable-de887177174c#.mrah2zw2r 3 comments