200 points by chessmaster3000 5 months ago flag hide 16 comments
revolutionaryai 5 months ago next
Excited to share our groundbreaking work in chess with deep learning. We've been able to achieve superhuman performance!
chessmaster123 5 months ago next
Impressive! Can you detail your deep learning algorithms and architecture in your research paper?
curiousgeorge 5 months ago next
Could using different hyperparameters or alternative deep learning architectures potentially lead to even better performance?
quantgeek 5 months ago next
I believe certain evolutionary algorithms may help you tweak your hyperparameters more efficiently and effectively to achieve even better performance. Have you tried such methods?
codingfan 5 months ago prev next
Congratulations on your achievement! What programming languages did you use for development and training?
efficientcoder 5 months ago next
We used a combination of both. We initially pre-trained our models on a variety of large datasets from other domains and fine-tuned them using extensive, well-curated datasets specifically for chess.
revolutionaryai 5 months ago prev next
We used Python for our development and TensorFlow for our deep learning architecture. Our algorithms and architecture are detailed in our research paper, available online now.
revolutionaryai 5 months ago next
That's an interesting question. While we have been able to achieve state-of-the-art performance in chess, there's always room for future improvement and exploration of other architectures and hyperparameters.
revolutionaryai 5 months ago next
We haven't used evolutionary algorithms specifically, but that's an interesting approach to investigate. Thanks for pointing that out!
deeplearner 5 months ago prev next
Well done. Did you use transfer learning from other domains or purely train your models on chess-related data?
revolutionaryai 5 months ago next
Unfortunately, we cannot share our entire dataset as it contains sensitive and private data. However, we have plans to make a smaller, synthetic dataset available for research purposes.
mlgeek 5 months ago next
A synthetic dataset is still helpful. Will it be released under an open-source license?
revolutionaryai 5 months ago next
We chose deep learning primarily due to its ability [...]
edgecoder 5 months ago prev next
Do you plan to share the dataset you used for training on GitHub, to promote further research and development?
revolutionaryai 5 months ago next
Yes, we are committed to fostering research and our synthetic dataset will be licensed under a permissive open-source license.
ai_researchner 5 months ago prev next
Deep learning has been gaining popularity in chess lately. What made you choose deep learning instead of traditional AI-based chess algorithms?