Who Cited It

Mastering the game of Go with deep neural networks and tree search

2016 · Nature · 16,014 citations · 34 from inside this corpus

David Silver, Aja Huang, Chris J. Maddison low, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam low, Marc Lanctot, Sander Dieleman, Dominik Grewe low, John Nham low, Nal Kalchbrenner, Ilya Sutskever, Timothy Lillicrap, Madeleine Leach low, Koray Kavukcuoglu, Thore Graepel, Demis Hassabis

No abstract in the source record.

Mastering the game of Go with deep neural networks and tree search (2016)Mastering the game of Go with…Reinforcement Learning: An Introduction (1998)Reinforcement Learning: An In…Reinforcement Learning: An Introduction (2005)Reinforcement Learning: An In…Simple statistical gradient-following algorithms for connectionist reinforcement learning (1992)Simple statistical gradient-f…Policy Gradient Methods for Reinforcement Learning with Function Approximation (1999)Policy Gradient Methods for R…Learning to Predict by the Methods of Temporal Differences (1988)Learning to Predict by the Me…A Survey of Monte Carlo Tree Search Methods (2012)A Survey of Monte Carlo Tree …Markov games as a framework for multi-agent reinforcement learning (1994)Markov games as a framework f…Mastering the game of Go without human knowledge (2017)Mastering the game of Go with…Federated Machine Learning (2019)Federated Machine LearningDeep Learning with Differential Privacy (2016)Deep Learning with Differenti…Machine Learning: Algorithms, Real-World Applications and Research Directions (2021)Machine Learning: Algorithms,…A guide to deep learning in healthcare (2018)A guide to deep learning in h…Deep Learning in Medical Image Analysis (2017)Deep Learning in Medical Imag…Deep Reinforcement Learning: A Brief Survey (2017)Deep Reinforcement Learning: …A general reinforcement learning algorithm that masters chess, shogi, and Go through self… (2018)A general reinforcement learn…Grandmaster level in StarCraft II using multi-agent reinforcement learning (2019)Grandmaster level in StarCraf…Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochast… (2018)Soft Actor-Critic: Off-Policy…A survey of deep neural network architectures and their applications (2016)A survey of deep neural netwo…Towards A Rigorous Science of Interpretable Machine Learning (2017)Towards A Rigorous Science of…Deep learning with coherent nanophotonic circuits (2017)Deep learning with coherent n…All-optical machine learning using diffractive deep neural networks (2018)All-optical machine learning …Relational inductive biases, deep learning, and graph networks (2018)Relational inductive biases, …On the Opportunities and Risks of Foundation Models (2021)On the Opportunities and Risk…A Roadmap of Agent Research and Development (1998)Shortcut learning in deep neural networks (2020)Shortcut learning in deep neu…Sigmoid-weighted linear units for neural network function approximation in reinforcement … (2018)Sigmoid-weighted linear units…Soft Actor-Critic Algorithms and Applications (2018)Soft Actor-Critic Algorithms …Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence (2023)Interpreting Black-Box Models…Review of Deep Learning Algorithms and Architectures (2019)Review of Deep Learning Algor…[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)][No title in the source recor…Dueling Network Architectures for Deep Reinforcement Learning (2015)Dueling Network Architectures…Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks (2017)A State-of-the-Art Survey on Deep Learning Theory and Architectures (2019)A State-of-the-Art Survey on …Deep Reinforcement Learning That Matters (2018)Deep Reinforcement Learning T…Target-driven visual navigation in indoor scenes using deep reinforcement learning (2017)Target-driven visual navigati…Secure, privacy-preserving and federated machine learning in medical imaging (2020)Secure, privacy-preserving an…
36 of 41 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Reinforcement Learning: An Introduction199827,409
Reinforcement Learning: An Introduction200525,758
Simple statistical gradient-following algorithms for connectionist reinforcement learning19927,519
Policy Gradient Methods for Reinforcement Learning with Function Approximation19994,966
Learning to Predict by the Methods of Temporal Differences19883,970
A Survey of Monte Carlo Tree Search Methods20123,003
Markov games as a framework for multi-agent reinforcement learning19942,715

What cites it, inside the corpus

PaperYearCited
Mastering the game of Go without human knowledge20179,313
Federated Machine Learning20196,228
Deep Learning with Differential Privacy20166,220
Machine Learning: Algorithms, Real-World Applications and Research Directions20215,368
A guide to deep learning in healthcare20185,126
Deep Learning in Medical Image Analysis20174,917
Deep Reinforcement Learning: A Brief Survey20174,434
A general reinforcement learning algorithm that masters chess, shogi, and Go through self…20183,611
Grandmaster level in StarCraft II using multi-agent reinforcement learning20193,508
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochast…20183,500
A survey of deep neural network architectures and their applications20163,285
Towards A Rigorous Science of Interpretable Machine Learning20173,190
Deep learning with coherent nanophotonic circuits20173,187
All-optical machine learning using diffractive deep neural networks20182,553
Relational inductive biases, deep learning, and graph networks20182,406
On the Opportunities and Risks of Foundation Models20212,265
A Roadmap of Agent Research and Development19982,099
Shortcut learning in deep neural networks20202,040
Sigmoid-weighted linear units for neural network function approximation in reinforcement …20182,027
Soft Actor-Critic Algorithms and Applications20181,994
Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence20231,981
Review of Deep Learning Algorithms and Architectures20191,878
[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]1,853
Dueling Network Architectures for Deep Reinforcement Learning20151,811
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks20171,709
A State-of-the-Art Survey on Deep Learning Theory and Architectures20191,619
Deep Reinforcement Learning That Matters20181,580
Target-driven visual navigation in indoor scenes using deep reinforcement learning20171,520
Secure, privacy-preserving and federated machine learning in medical imaging20201,454

Links

DOI · OpenAlex record

Topics

Artificial Intelligence in GamesComputer Science
Sports Analytics and PerformanceEconomics, Econometrics and Finance
Educational Games and GamificationPsychology

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports20 author record(s) attached.
  • supports66 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:40+00:00.

sha256 7e3d99a592f7f61f…