Move Evaluation in Go Using Deep Convolutional Neural Networks

20 December 2014

David Silver

Papers citing "Move Evaluation in Go Using Deep Convolutional Neural Networks"

41 / 41 papers shown

Title
UNSAT Solver Synthesis via Monte Carlo Forest Search Chris Cameron Jason S. Hartford Taylor Lundy T. Truong Alan Milligan Rex Chen Kevin Leyton-Brown 21 1 0 22 Nov 2022
Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning Navid Naderializadeh J. Sydir M. Simsek Hosein Nikopour 18 121 0 14 Feb 2020
Challenges in Markov chain Monte Carlo for Bayesian neural networks Theodore Papamarkou Jacob D. Hinkle M. T. Young D. Womble BDL 31 50 0 15 Oct 2019
Relationship Explainable Multi-objective Optimization Via Vector Value Function Based Reinforcement Learning Huixin Zhan Yongcan Cao 11 7 0 02 Oct 2019
Relationship Explainable Multi-objective Reinforcement Learning with Semantic Explainability Generation Huixin Zhan Yongcan Cao 14 2 0 26 Sep 2019
Playing Go without Game Tree Search Using Convolutional Neural Networks J. Barratt Chuanbo Pan 14 3 0 02 Jul 2019
Multi-Task Learning for Argumentation Mining Tobias Kahse 9 4 0 23 Apr 2019
Accelerating Self-Play Learning in Go David J. Wu 14 93 0 27 Feb 2019
ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero Yuandong Tian Jerry Ma Qucheng Gong Shubho Sengupta Zhuoyuan Chen James Pinkerton C. L. Zitnick 31 108 0 12 Feb 2019
Deep Reinforcement Learning Yuxi Li VLM OffRL 23 144 0 15 Oct 2018
First Experiments with Neural Translation of Informal to Formal Mathematics Qingxiang Wang C. Kaliszyk Josef Urban AI4CE 25 56 0 10 May 2018
Convolutional Invasion and Expansion Networks for Tumor Growth Prediction Ling Zhang Le Lu Ronald M. Summers E. Kebebew Jianhua Yao MedIm 19 61 0 25 Jan 2018
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm David Silver Thomas Hubert Julian Schrittwieser Ioannis Antonoglou Matthew Lai ... D. Kumaran T. Graepel Timothy Lillicrap Karen Simonyan Demis Hassabis 25 1,732 0 05 Dec 2017
Differentially Private Variational Dropout B. Ermiş A. Cemgil 19 5 0 30 Nov 2017
Differentially Private Dropout B. Ermiş A. Cemgil SyDa 13 4 0 30 Nov 2017
Artificial Intelligence as Structural Estimation: Economic Interpretations of Deep Blue, Bonanza, and AlphaGo Mitsuru Igami 11 34 0 30 Oct 2017
StarCraft II: A New Challenge for Reinforcement Learning Oriol Vinyals T. Ewalds Sergey Bartunov Petko Georgiev A. Vezhnevets ... Anthony Brunasso David Lawrence Anders Ekermo J. Repp Rodney Tsing 13 867 0 16 Aug 2017
Learning to Plan Chemical Syntheses Marwin H. S. Segler Mike Preuss M. Waller 14 1,356 0 14 Aug 2017
Learning how to Active Learn: A Deep Reinforcement Learning Approach Meng Fang Yuan Li Trevor Cohn 8 282 0 08 Aug 2017
FML-based Dynamic Assessment Agent for Human-Machine Cooperative System on Game of Go Chang-Shing Lee Mei-Hui Wang Sheng-Chi Yang Pi-Hsia Hung Su-Wei Lin Nan Shuo N. Kubota Chun-Hsun Chou Ping-Chiang Chou Chia-Hsiu Kao 11 11 0 16 Jul 2017
Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term Evaluation Jinzhuo Wang Wenmin Wang Ronggang Wang Wen Gao OOD 8 8 0 13 Jun 2017
Multi-Labelled Value Networks for Computer Go Ti-Rong Wu I-Chen Wu Guan-Wun Chen Ting Han Wei Tung-Yi Lai Hung-Chun Wu Li-Cheng Lan 28 22 0 30 May 2017
Towards "AlphaChem": Chemical Synthesis Planning with Tree Search and Deep Neural Network Policies Marwin H. S. Segler Mike Preuss M. Waller 13 33 0 31 Jan 2017
Should I use TensorFlow Martin Schrimpf GP 16 3 0 27 Nov 2016
Multi-Objective Deep Reinforcement Learning Hossam Mossalam Yannis Assael D. Roijers Shimon Whiteson 19 149 0 09 Oct 2016
Holophrasm: a neural Automated Theorem Prover for higher-order logic Daniel Whalen AIMat 20 49 0 08 Aug 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 14 5,986 0 01 Jul 2016
Human vs. Computer Go: Review and Prospect Chang-Shing Lee Mei-Hui Wang Shi-Jim Yen Ting Han Wei I-Chen Wu Ping-Chiang Chou Chun-Hsun Chou Ming-Wan Wang Tai-Hsiung Yang ELM 11 37 0 07 Jun 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Z. Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 36 18,252 0 27 May 2016
Learning Multiagent Communication with Backpropagation Sainbayar Sukhbaatar Arthur Szlam Rob Fergus 15 1,135 0 25 May 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Z. Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 24 11,113 0 14 Mar 2016
Deep Reinforcement Learning from Self-Play in Imperfect-Information Games Johannes Heinrich David Silver SSL 13 396 0 03 Mar 2016
Learning to Communicate to Solve Riddles with Deep Distributed Recurrent Q-Networks Jakob N. Foerster Yannis Assael Nando de Freitas Shimon Whiteson 11 146 0 08 Feb 2016
Convolutional Monte Carlo Rollouts in Go Peter H. Jin Kurt Keutzer BDL 7 3 0 10 Dec 2015
Strategic Dialogue Management via Deep Reinforcement Learning Heriberto Cuayáhuitl Simon Keizer Oliver Lemon 9 90 0 25 Nov 2015
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 7 3,720 0 20 Nov 2015
Better Computer Go Player with Neural Network and Long-term Prediction Yuandong Tian Yan Zhu AI4CE 10 86 0 19 Nov 2015
Poker-CNN: A Pattern Learning Strategy for Making Draws and Bets in Poker Games Nikolai Yakovenko Liangliang Cao Colin Raffel James Fan SSL 17 30 0 22 Sep 2015
Data Science and Ebola Aske Plaat 11 5 0 11 Apr 2015
$gen$ CNN: A Convolutional Architecture for Word Sequence Prediction Mingxuan Wang Zhengdong Lu Hang Li Wenbin Jiang Qun Liu 30 28 0 17 Mar 2015
Multi-agent Inverse Reinforcement Learning for Two-person Zero-sum Games Xiaomin Lin Peter A. Beling R. Cogill 58 59 0 25 Mar 2014