DS
David Silver
cs.LGcs.AIstat.MLArtificial IntelligenceReinforcement, Psychologycs.NEVideo GamesNeural Networks, ComputerSoftwarecs.CL
On Valency
published · living versionsW_mhugx9qb·v1 · currentpublished
W_k98pvudy·v1published
W_2wg6hmz9·v1published
Preprints & journals
81 papers in the corpus · 2009–2025Olympiad-level formal mathematical reasoning with reinforcement learning.41225005 · Hubert, Thomas, Mehta, Rishi, Sartran, Laurent et al.2026 · 19 citationsNature. 2026;651(8106):607-613
Discovering state-of-the-art reinforcement learning algorithms.41125136 · Oh, Junhyuk, Farquhar, Gregory, Kemaev, Iurii et al.2025 · 17 citationsNature. 2025;648(8093):312-319
DataRater: Meta-Learned Dataset Curation2505.17895v2 · Dan A. Calian, Gregory Farquhar, Iurii Kemaev et al.2025 · 1 citationarXiv
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context2403.05530v5 · Gemini Team Google: Petko Georgiev, Ving Ian Lei, Ryan Burnell et al.2024 · 302 citationsarXiv
Gemini: A Family of Highly Capable Multimodal Models2312.11805v5 · Gemini Team Google: Rohan Anil, Sebastian Borgeaud, Jean-Baptiste Alayrac et al.2023 · 988 citationsarXiv
Faster sorting algorithms discovered using deep reinforcement learning.37286649 · Mankowitz, Daniel J, Michi, Andrea, Zhernov, Anton et al.2023 · 177 citationsNature. 2023;618(7964):257-263
Mastering the game of Stratego with model-free multiagent reinforcement learning.36454847 · Perolat, Julien, De Vylder, Bart, Hennes, Daniel et al.2022 · 160 citationsScience (New York, N.Y.). 2022;378(6623):990-996
Discovering faster matrix multiplication algorithms with reinforcement learning.36198780 · Fawzi, Alhussein, Balog, Matej, Huang, Aja et al.2022 · 478 citationsNature. 2022;610(7930):47-53
Deep learning, reinforcement learning, and world models.35569196 · Matsuo, Yutaka, LeCun, Yann, Sahani, Maneesh et al.2022 · 546 citationsNeural networks : the official journal of the International Neural Network Society. 2022;152:267-275
Applying and improving AlphaFold at CASP14.34599769 · Jumper, John, Evans, Richard, Pritzel, Alexander et al.2022 · 397 citationsProteins. 2021;89(12):1711-1721
Self-Consistent Models and Values2110.12840v1 · Gregory Farquhar, Kate Baumli, Zita Marinho et al.2021 · 2 citationsarXiv
Bootstrapped Meta-Learning2109.04504v2 · Sebastian Flennerhag, Yannick Schroecker, Tom Zahavy et al.2021 · 9 citationsarXiv
Highly accurate protein structure prediction with AlphaFold.34265844 · Jumper, John, Evans, Richard, Pritzel, Alexander et al.2022 · 43,443 citationsNature. 2021;596(7873):583-589
The Option Keyboard: Combining Skills in Reinforcement Learning2106.13105v1 · Andr'e Barreto, Diana Borsa, Shaobo Hou et al.2021 · 42 citationsarXiv
Proper Value Equivalence2106.10316v2 · Christopher Grimm, Andr'e Barreto, Gregory Farquhar et al.2021 · 6 citationsNeurIPS 2021
Muesli: Combining Improvements in Policy Optimization2104.06159v2 · Matteo Hessel, Ivo Danihelka, Fabio Viola et al.2021 · 18 citationsarXiv
Online and Offline Reinforcement Learning by Planning with a Learned Model2104.06294v1 · Julian Schrittwieser, Thomas Hubert, Amol Mandhane et al.2021 · 33 citationsarXiv
Learning and Planning in Complex Action Spaces2104.06303v1 · Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou et al.2021 · 31 citationsarXiv
Discovery of Options via Meta-Learned Subgoals2102.06741v1 · Vivek Veeriah, Tom Zahavy, Matteo Hessel et al.2021 · 8 citationsarXiv
Mastering Atari, Go, chess and shogi by planning with a learned model.33361790 · Schrittwieser, Julian, Antonoglou, Ioannis, Hubert, Thomas et al.2021 · 1,684 citationsNature. 2020;588(7839):604-609
The Value Equivalence Principle for Model-Based Reinforcement Learning2011.03506v1 · Christopher Grimm, Andr'e Barreto, Satinder Singh et al.2020 · 19 citationsarXiv
Fast reinforcement learning with generalized policy updates.32817541 · Barreto, André, Hou, Shaobo, Borsa, Diana et al.2021 · 78 citationsProceedings of the National Academy of Sciences of the United States of America. 2020;117(48):30079-30087
Discovering Reinforcement Learning Algorithms2007.08794v3 · Junhyuk Oh, Matteo Hessel, Wojciech M. Czarnecki et al.2020 · 71 citationsarXiv
Meta-Gradient Reinforcement Learning with an Objective Discovered Online2007.08433v1 · Zhongwen Xu, Hado van Hasselt, Matteo Hessel et al.2020 · 41 citationsarXiv
Expected Eligibility Traces2007.01839v2 · Hado van Hasselt, Sephora Madjiheurem, Matteo Hessel et al.2020 · 2 citationsarXiv
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning2006.02243v2 · Will Dabney, Andr'e Barreto, Mark Rowland et al.2020 · 20 citationsarXiv
A Self-Tuning Actor-Critic Algorithm2002.12928v5 · Tom Zahavy, Zhongwen Xu, Vivek Veeriah et al.2020 · 46 citationsarXiv
Value-driven Hindsight Modelling2002.08329v2 · Arthur Guez, Fabio Viola, Th'eophane Weber et al.2020 · 8 citationsarXiv
Improved protein structure prediction using potentials from deep learning.31942072 · Senior, Andrew W, Evans, Richard, Jumper, John et al.2020 · 3,379 citationsNature. 2020;577(7792):706-710
What Can Learned Intrinsic Rewards Capture?1912.05500v3 · Zeyu Zheng, Junhyuk Oh, Matteo Hessel et al.2019 · 43 citationsarXiv
Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13).31602685 · Senior, Andrew W, Evans, Richard, Jumper, John et al.2020 · 347 citationsProteins. 2019;87(12):1141-1148
Grandmaster level in StarCraft II using multi-agent reinforcement learning.31666705 · Vinyals, Oriol, Babuschkin, Igor, Czarnecki, Wojciech M et al.2020 · 3,448 citationsNature. 2019;575(7782):350-354
Discovery of Useful Questions as Auxiliary Tasks1909.04607v1 · Vivek Veeriah, Matteo Hessel, Zhongwen Xu et al.2019 · 45 citationsarXiv
Behaviour Suite for Reinforcement Learning1908.03568v3 · Ian Osband, Yotam Doron, Matteo Hessel et al.2019 · 58 citationsarXiv
On Inductive Biases in Deep Reinforcement Learning1907.02908v1 · Matteo Hessel, Hado van Hasselt, Joseph Modayil et al.2019 · 20 citationsarXiv
Human-level performance in 3D multiplayer games with population-based reinforcement learning.31147514 · Jaderberg, Max, Czarnecki, Wojciech M, Dunning, Iain et al.2019 · 674 citationsScience (New York, N.Y.). 2019;364(6443):859-865
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement1901.10964v1 · Andr'e Barreto, Diana Borsa, John Quan et al.2019 · 79 citationsarXiv
An investigation of model-free planning1901.03559v2 · Arthur Guez, Mehdi Mirza, Karol Gregor et al.2019 · 18 citationsarXiv
Credit Assignment Techniques in Stochastic Computation Graphs1901.01761v1 · Th'eophane Weber, Nicolas Heess, Lars Buesing et al.2019 · 14 citationsarXiv
Universal Successor Features Approximators1812.07626v1 · Diana Borsa, Andr'e Barreto, John Quan et al.2018 · 41 citationsarXiv
Bayesian Optimization in AlphaGo1812.06855v1 · Yutian Chen, Aja Huang, Ziyu Wang et al.2018 · 80 citationsarXiv
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play.30523106 · Silver, David, Hubert, Thomas, Schrittwieser, Julian et al.2019 · 3,562 citationsScience (New York, N.Y.). 2018;362(6419):1140-1144
Introduction to the special issue on deep reinforcement learning:An editorial.30122431 · Sun, Ron, Silver, David, Tesauro, Gerald et al.2019 · 5 citationsNeural networks : the official journal of the International Neural Network Society. 2018;107:1-2
Implicit Quantile Networks for Distributional Reinforcement Learning1806.06923v1 · Will Dabney, Georg Ostrovski, David Silver et al.2018 · 312 citationsarXiv
Meta-Gradient Reinforcement Learning1805.09801v1 · Zhongwen Xu, Hado van Hasselt, David Silver2018 · 198 citationsarXiv
Unsupervised Predictive Memory in a Goal-Directed Agent1803.10760v1 · Greg Wayne, Chia-Chun Hung, David Amos et al.2018 · 138 citationsarXiv
Distributed Prioritized Experience Replay1803.00933v1 · Dan Horgan, John Quan, David Budden et al.2018 · 555 citationsarXiv
Unicorn: Continual Learning with a Universal, Off-policy Agent1802.08294v2 · Daniel J. Mankowitz, Augustin Z'idek, Andr'e Barreto et al.2018 · 35 citationsarXiv
Learning to Search with MCTSnets1802.04697v2 · Arthur Guez, Th'eophane Weber, Ioannis Antonoglou et al.2018 · 41 citationsarXiv
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm1712.01815v1 · David Silver, Thomas Hubert, Julian Schrittwieser et al.2017 · 1,053 citationsarXiv
Career total: 151 works. 81 are in this corpus.Showing the 50 most recent.
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