VM
Volodymyr Mnih
cs.LGcs.AIstat.MLcs.NEcs.CVcs.ROmath.OCArtificial Intelligencecs.DCReinforcement, Psychology
On Valency
published · living versionsW_k98pvudy·v1 · currentpublished
Playing Atari with Deep Reinforcement Learning
with Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou +2
1 version
W_2wg6hmz9·v1published
Preprints & journals
29 papers in the corpus · 2012–2025SIMA 2: A Generalist Embodied Agent for Virtual Worlds2512.04797v1 · SIMA team: Adrian Bolton, Alexander Lerchner, Alexandra Cordell et al.2025 · 0 citationsarXiv
LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations2412.01441v3 · Anian Ruoss, Fabio Pardo, Harris Chan et al.2024 · 0 citationsarXiv
ElasticTok: Adaptive Tokenization for Image and Video2410.08368v2 · Wilson Yan, Volodymyr Mnih, Aleksandra Faust et al.2024 · 1 citationarXiv
Vision-Language Models as a Source of Rewards2312.09187v3 · Kate Baumli, Satinder Baveja, Feryal Behbahani et al.2023 · 4 citationsarXiv
In-context Reinforcement Learning with Algorithm Distillation2210.14215v1 · Michael Laskin, Luyu Wang, Junhyuk Oh et al.2022 · 14 citationsarXiv
Palm up: Playing in the Latent Manifold for Unsupervised Pretraining2210.10913v2 · Hao Liu, Tom Zahavy, Volodymyr Mnih et al.2022 · 1 citationarXiv
Wasserstein Distance Maximizing Intrinsic Control2110.15331v1 · Ishan Durugkar, Steven Hansen, Stephen Spencer et al.2021 · 0 citationsarXiv
Discovering Diverse Nearly Optimal Policies with Successor Features2106.00669v2 · Tom Zahavy, Brendan O'Donoghue, Andre Barreto et al.2021 · 5 citationsarXiv
Relative Variational Intrinsic Control2012.07827v1 · Kate Baumli, David Warde-Farley, Steven Hansen et al.2020 · 4 citationsarXiv
Q-Learning in enormous action spaces via amortized approximate maximization2001.08116v1 · Tom Van de Wiele, David Warde-Farley, Andriy Mnih et al.2020 · 28 citationsarXiv
Unsupervised Learning of Object Keypoints for Perception and Control1906.11883v2 · Tejas Kulkarni, Ankush Gupta, Catalin Ionescu et al.2019 · 116 citationsarXiv
Fast Task Inference with Variational Intrinsic Successor Features1906.05030v2 · Steven Hansen, Will Dabney, Andre Barreto et al.2019 · 57 citationsarXiv
Unsupervised Control Through Non-Parametric Discriminative Rewards1811.11359v1 · David Warde-Farley, Tom Van de Wiele, Tejas Kulkarni et al.2018 · 62 citationsarXiv
Learning by Playing - Solving Sparse Reward Tasks from Scratch1802.10567v1 · Martin Riedmiller, Roland Hafner, Thomas Lampe et al.2018 · 291 citationsarXiv
The Uncertainty Bellman Equation and Exploration1709.05380v4 · Brendan O'Donoghue, Ian Osband, Remi Munos et al.2017 · 108 citationsarXiv
Reinforcement Learning with Unsupervised Auxiliary Tasks1611.05397v1 · Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki et al.2016 · 824 citationsarXiv
Combining policy gradient and Q-learning1611.01626v3 · Brendan O'Donoghue, Remi Munos, Koray Kavukcuoglu et al.2016 · 120 citationsarXiv
Sample Efficient Actor-Critic with Experience Replay1611.01224v2 · Ziyu Wang, Victor Bapst, Nicolas Heess et al.2016 · 494 citationsarXiv
Using Fast Weights to Attend to the Recent Past1610.06258v3 · Jimmy Ba, Geoffrey Hinton, Volodymyr Mnih et al.2016 · 146 citationsarXiv
Strategic Attentive Writer for Learning Macro-Actions1606.04695v1 · Alexander (Sasha) Vezhnevets, Volodymyr Mnih, John Agapiou et al.2016 · 99 citationsarXiv
Learning values across many orders of magnitude1602.07714v2 · Hado van Hasselt, Arthur Guez, Matteo Hessel et al.2016 · 83 citationsarXiv
Asynchronous Methods for Deep Reinforcement Learning1602.01783v2 · Volodymyr Mnih, Adria Puigdomenech Badia, Mehdi Mirza et al.2016 · 7,131 citationsICML 2016on Valency
Policy Distillation1511.06295v2 · Andrei A. Rusu, Sergio Gomez Colmenarejo, Caglar Gulcehre et al.2015 · 270 citationsarXiv
Massively Parallel Methods for Deep Reinforcement Learning1507.04296v2 · Arun Nair, Praveen Srinivasan, Sam Blackwell et al.2015 · 389 citationsarXiv
Human-level control through deep reinforcement learning.25719670 · Mnih, Volodymyr, Kavukcuoglu, Koray, Silver, David et al.2015 · 30,223 citationsNature. 2015;518(7540):529-33
Recurrent Models of Visual Attention1406.6247v1 · Volodymyr Mnih, Nicolas Heess, Alex Graves et al.2014 · 3,288 citationsarXiv
Playing Atari with Deep Reinforcement Learning1312.5602v1 · Volodymyr Mnih, Koray Kavukcuoglu, David Silver et al.2013 · 9,472 citationsarXivon Valency
Modeling natural images using gated MRFs.23868780 · Ranzato, Marc'Aurelio, Mnih, Volodymyr, Susskind, Joshua M et al.2014 · 61 citationsIEEE transactions on pattern analysis and machine intelligence. 2013;35(9):2206-22
Conditional Restricted Boltzmann Machines for Structured Output Prediction1202.3748v1 · Volodymyr Mnih, Hugo Larochelle, Geoffrey E. Hinton2012 · 109 citationsarXiv
Career total: 49 works. 29 are in this corpus.
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