Volodymyr Mnih
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
6
Active years
2008–2025
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | ElasticTok: Adaptive Tokenization for Image and Video. | Wilson Yan, Volodymyr Mnih, Aleksandra Faust, Matei Zaharia, Pieter Abbeel, Hao Liu |
| 2025 | ICML | LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations. | Anian Ruoss, Fabio Pardo, Harris Chan, Bonnie Li, Volodymyr Mnih, Tim Genewein |
| 2023 | ICLR | In-context Reinforcement Learning with Algorithm Distillation. | Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Stenberg Hansen, Angelos Filos, Ethan Brooks, Maxime Gazeau, Himanshu Sahni, Satinder Singh, Volodymyr Mnih |
| 2022 | ICLR | Learning more skills through optimistic exploration. | DJ Strouse, Kate Baumli, David Warde-Farley, Volodymyr Mnih, Steven Stenberg Hansen |
| 2021 | AAAI | Relative Variational Intrinsic Control. | Kate Baumli, David Warde-Farley, Steven Hansen, Volodymyr Mnih |
| 2020 | ICLR | Fast Task Inference with Variational Intrinsic Successor Features. | Steven Hansen, Will Dabney, Andr Barreto, David Warde-Farley, Tom Van de Wiele, Volodymyr Mnih |
| 2019 | ICLR | Unsupervised Control Through Non-Parametric Discriminative Rewards. | David Warde-Farley, Tom Van de Wiele, Tejas D. Kulkarni, Catalin Ionescu, Steven Hansen, Volodymyr Mnih |
| 2018 | ICLR | Noisy Networks For Exploration. | Meire Fortunato, Mohammad Gheshlaghi Azar, Bilal Piot, Jacob Menick, Matteo Hessel, Ian Osband, Alex Graves, Volodymyr Mnih, Rmi Munos, Demis Hassabis, Olivier Pietquin, Charles Blundell, Shane Legg |
| 2018 | ICML | IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures. | Lasse Espeholt, Hubert Soyer, Rmi Munos, Karen Simonyan, Volodymyr Mnih, Tom Ward, Yotam Doron, Vlad Firoiu, Tim Harley, Iain Dunning, Shane Legg, Koray Kavukcuoglu |
| 2018 | ICML | The Uncertainty Bellman Equation and Exploration. | Brendan O'Donoghue, Ian Osband, Rmi Munos, Volodymyr Mnih |
| 2017 | ICLR | Sample Efficient Actor-Critic with Experience Replay. | Ziyu Wang, Victor Bapst, Nicolas Heess, Volodymyr Mnih, Rmi Munos, Koray Kavukcuoglu, Nando de Freitas |
| 2017 | ICLR | Reinforcement Learning with Unsupervised Auxiliary Tasks. | Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki, Tom Schaul, Joel Z. Leibo, David Silver, Koray Kavukcuoglu |
| 2017 | ICLR | Combining policy gradient and Q-learning. | Brendan O'Donoghue, Rmi Munos, Koray Kavukcuoglu, Volodymyr Mnih |
| 2016 | ICML | Asynchronous Methods for Deep Reinforcement Learning. | Volodymyr Mnih, Adri Puigdomnech Badia, Mehdi Mirza, Alex Graves, Timothy P. Lillicrap, Tim Harley, David Silver, Koray Kavukcuoglu |
| 2012 | ICML | Learning to Label Aerial Images from Noisy Data. | Volodymyr Mnih, Geoffrey E. Hinton |
| 2011 | CVPR | On deep generative models with applications to recognition. | Marc'Aurelio Ranzato, Joshua M. Susskind, Volodymyr Mnih, Geoffrey E. Hinton |
| 2011 | UAI | Conditional Restricted Boltzmann Machines for Structured Output Prediction. | Volodymyr Mnih, Hugo Larochelle, Geoffrey E. Hinton |
| 2010 | ECCV | Learning to Detect Roads in High-Resolution Aerial Images. | Volodymyr Mnih, Geoffrey E. Hinton |
| 2008 | ICML | Empirical Bernstein stopping. | Volodymyr Mnih, Csaba Szepesvri, Jean-Yves Audibert |