Giraffe: Using Deep Reinforcement Learning to Play Chess

4 September 2015

Papers citing "Giraffe: Using Deep Reinforcement Learning to Play Chess"

10 / 10 papers shown

Title
Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Zijian An Lifeng Zhou 36 0 0 08 May 2025
Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Niccolò Grillo Andrea Toccaceli Joël Mathys Benjamin Estermann Stefania Fresca Roger Wattenhofer AI4CE LRM 106 0 0 06 Feb 2025
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach Xueqiang Yan Yali Du Binxin Ru Jun Wang Haifeng Zhang Xu Chen 38 7 0 12 Jan 2022
Open Problems in Cooperative AI Allan Dafoe Edward Hughes Yoram Bachrach Tantum Collins Kevin R. McKee Joel Z. Leibo Kate Larson T. Graepel 42 200 0 15 Dec 2020
SentiMATE: Learning to play Chess through Natural Language Processing Isaac Kamlish Isaac Bentata Chocron Nicholas McCarthy 23 10 0 18 Jul 2019
Challenges for an Ontology of Artificial Intelligence Scott H. Hawley 21 11 0 25 Feb 2019
DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess Omid David N. Netanyahu Lior Wolf SSL 37 81 0 27 Nov 2017
PassGAN: A Deep Learning Approach for Password Guessing Briland Hitaj Paolo Gasti G. Ateniese Fernando Perez-Cruz GAN 30 246 0 01 Sep 2017
VAIN: Attentional Multi-agent Predictive Modeling Yedid Hoshen GNN 41 237 0 19 Jun 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning Briland Hitaj G. Ateniese Fernando Perez-Cruz FedML 58 1,380 0 24 Feb 2017