DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess

27 November 2017

Papers citing "DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess"

5 / 5 papers shown

Title
Aspect-based Sentiment Evaluation of Chess Moves (ASSESS): an NLP-based Method for Evaluating Chess Strategies from Textbooks Haifa Alrdahi R. Batista-Navarro 37 0 0 10 May 2024
Open- and Closed-Loop Neural Network Verification using Polynomial Zonotopes Niklas Kochdumper Christian Schilling Matthias Althoff Stanley Bak 24 33 0 06 Jul 2022
SentiMATE: Learning to play Chess through Natural Language Processing Isaac Kamlish Isaac Bentata Chocron Nicholas McCarthy 13 10 0 18 Jul 2019
Impact of Artificial Intelligence on Businesses: from Research, Innovation, Market Deployment to Future Shifts in Business Models N. Soni E. Sharma Narotam Singh A. Kapoor 14 67 0 03 May 2019
VAIN: Attentional Multi-agent Predictive Modeling Yedid Hoshen GNN 24 237 0 19 Jun 2017