arXiv Open Access 2020

Chess2vec: Learning Vector Representations for Chess

Berk Kapicioglu Ramiz Iqbal Tarik Koc Louis Nicolas Andre Katharina Sophia Volz

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Abstrak

We conduct the first study of its kind to generate and evaluate vector representations for chess pieces. In particular, we uncover the latent structure of chess pieces and moves, as well as predict chess moves from chess positions. We share preliminary results which anticipate our ongoing work on a neural network architecture that learns these embeddings directly from supervised feedback.

Topik & Kata Kunci

cs.LG cs.AI

Penulis (5)

Berk Kapicioglu

Ramiz Iqbal

Tarik Koc

Louis Nicolas Andre

Katharina Sophia Volz

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APA MLA BibTeX

Kapicioglu, B., Iqbal, R., Koc, T., Andre, L.N., Volz, K.S. (2020). Chess2vec: Learning Vector Representations for Chess. https://arxiv.org/abs/2011.01014

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓