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"

6 / 6 papers shown

Title
Aspect-based Sentiment Evaluation of Chess Moves (ASSESS): an NLP-based Method for Evaluating Chess Strategies from Textbooks Haifa Alrdahi Riza Batista-Navarro 47 0 0 10 May 2024
Open- and Closed-Loop Neural Network Verification using Polynomial Zonotopes Niklas Kochdumper Christian Schilling Matthias Althoff Stanley Bak 28 33 0 06 Jul 2022
DeepMimic: Mentor-Student Unlabeled Data Based Training Itay Mosafi E. David N. Netanyahu 16 6 0 24 Nov 2019
SentiMATE: Learning to play Chess through Natural Language Processing Isaac Kamlish Isaac Bentata Chocron Nicholas McCarthy 15 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 24 68 0 03 May 2019
VAIN: Attentional Multi-agent Predictive Modeling Yedid Hoshen GNN 41 237 0 19 Jun 2017