Hacker News
- Reinforcement Learning: An Introduction (2018) http://incompleteideas.net/book/the-book-2nd.html 23 comments
- Looking for a recently-ish posted free(?) book on artificial intelligence using scheme or cl for its code http://incompleteideas.net/book/the-book-2nd.html 7 comments lisp
- Dyna's performance degrades with more planning steps? (noob question) http://incompleteideas.net/book/the-book-2nd.html 3 comments reinforcementlearning
- Reinforcement Learning: An Introduction, 2nd edition by Richard S. Sutton and Andrew G. Barto (free pdf) [examples in common lisp] http://www.incompleteideas.net/book/the-book-2nd.html 5 comments lisp
- Sutton & Barto's Figure 2.2 http://incompleteideas.net/book/the-book-2nd.html 6 comments reinforcementlearning
Linking pages
- Why Tool AIs Want to Be Agent AIs · Gwern.net http://www.gwern.net/Tool%20AI 58 comments
- ML Resources https://sgfin.github.io/learning-resources/ 21 comments
- notes/Machine Learning.md at master · brylevkirill/notes · GitHub https://github.com/brylevkirill/notes/blob/master/Machine%20Learning.md 8 comments
- awesome-machine-learning/books.md at master · josephmisiti/awesome-machine-learning · GitHub https://github.com/josephmisiti/awesome-machine-learning/blob/master/books.md 5 comments
- GitHub - qfettes/DeepRL-Tutorials: Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch https://github.com/qfettes/DeepRL-Tutorials 4 comments
- MLOps guide https://huyenchip.com/mlops/ 3 comments
- Why Tool AIs Want to Be Agent AIs · Gwern.net https://www.gwern.net/Tool-AI 1 comment
- Battlesnake Post Mortem. Using a desktop GPU to top the global… | by Cory Binnersley | Asymptotic Labs | Medium https://medium.com/asymptoticlabs/battlesnake-post-mortem-a5917f9a3428 1 comment
- Reinforcement Learning: a comprehensive introduction [Part 0] | by Luca Palmieri | Comet | Medium https://medium.com/comet-ml/reinforcement-learning-a-comprehensive-introduction-part-0-bb27fa103272 1 comment
- GitHub - vlgiitr/DL_Topics: List of DL topics and resources essential for cracking interviews https://github.com/vlgiitr/DL_Topics 1 comment
- Easy Reinforcement Learning - The Multi Armed Bandit | Dean Markwick https://dm13450.github.io/2023/09/27/Easy-Reinforcement-Learning-and-The-Multi-Armed-Bandits.html 1 comment
- How to implement a Reinforcement Learning library from Scratch — A Deep dive into Reinforce.jl | by Mark Saroufim | Medium https://medium.com/@marksaroufim/how-to-implement-a-reinforcement-learning-library-from-scratch-a-deep-dive-into-reinforce-jl-d1ec2a239924 0 comments
- Dissecting Reinforcement Learning-Part.4 https://mpatacchiola.github.io/blog/2017/02/11/dissecting-reinforcement-learning-4.html 0 comments
- GitHub - aunum/gold: Reinforcement Learning in Go https://github.com/aunum/gold 0 comments
- Reinforcement Learning Playground https://alazareva.github.io/rl_playground 0 comments
- Gradient Update #4: OpenAI's Copilot and DeepMind on Reward and AGI https://thegradientpub.substack.com/p/update-4-openais-copilot-and-deepmind 0 comments
- GitHub - diegoalejogm/Reinforcement-Learning: Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2) https://github.com/diegoalejogm/Reinforcement-Learning 0 comments
- GitHub - simerplaha/reinforcement-learning: Reinforcement learning https://github.com/simerplaha/reinforcement-learning 0 comments
- Reinforcement Learning [Part 0] | Luca Palmieri https://www.lpalmieri.com/posts/rl-introduction-00/ 0 comments
- AI Reading List. For newcomers to the field of… | by Vishal Maini | Machine Learning for Humans | Medium https://medium.com/@v_maini/ai-reading-list-c4753afd97a 0 comments
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