Volodymyr Mnih

Researcher, Google

Researcher, DeepMind

Joined

September 2016

Names

Volodymyr Mnih (Preferred)

Emails

****@google.com (Confirmed)

****@cs.toronto.edu (Confirmed)

****@deepmind.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

Google (google.com)

2014 – Present

Researcher

DeepMind (deepmind.com)

2013 – Present

Advisors, Relations & Conflicts

PhD Advisor

Geoffrey Hinton

2008 – 2013

Expertise

No areas of expertise listed

Publications

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations
Anian Ruoss, Fabio Pardo, Harris Chan, Bonnie Li, Volodymyr Mnih, Tim Genewein
- Reasoning and Planning for LLMs @ ICLR2025
- Readers: Everyone
LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations
Anian Ruoss, Fabio Pardo, Harris Chan, Bonnie Li, Volodymyr Mnih, Tim Genewein
- ICML 2025 poster
- Readers: Everyone
ElasticTok: Adaptive Tokenization for Image and Video
Wilson Yan, Volodymyr Mnih, Aleksandra Faust, Matei Zaharia, Pieter Abbeel, Hao Liu
- ICLR 2025 Poster
- Readers: Everyone
Textbook Consistency Weighted Internet Improves Efficiency Twofold
Hao Liu, Volodymyr Mnih, Pieter Abbeel, Aleksandra Faust
- Submitted to ICLR 2025
- Readers: Everyone
Vision-Language Models as a Source of Rewards
Kate Baumli, Satinder Singh, Feryal Behbahani, Harris Chan, Gheorghe Comanici, Sebastian Flennerhag, Maxime Gazeau, Kristian Holsheimer, Dan Horgan, Michael Laskin, Clare Lyle, Volodymyr Mnih, Alexander Neitz, Fabio Pardo, Jack Parker-Holder, John Quan, Tim Rocktäschel, Himanshu Sahni, Tom Schaul, Yannick Schroecker et al. (4 additional authors not shown)
- ALOE 2023 Poster
- Readers: Everyone
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
- 08 Oct 2022 (modified: 05 May 2023)
- Deep RL Workshop 2022
- Readers: Everyone
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
- 05 Oct 2022 (modified: 05 May 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
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
- Published: 01 Feb 2023, Last Modified: 27 Feb 2023
- ICLR 2023 notable top 5%
- Readers: Everyone
Palm up: Playing in the Latent Manifold for Unsupervised Pretraining
Hao Liu, Tom Zahavy, Volodymyr Mnih, Satinder Singh
- Published: 31 Oct 2022, Last Modified: 15 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone
Entropic Desired Dynamics for Intrinsic Control
Steven Stenberg Hansen, Guillaume Desjardins, Kate Baumli, David Warde-Farley, Nicolas Heess, Simon Osindero, Volodymyr Mnih
- 13 May 2022
- OpenReview Archive Direct Upload
- Readers: Everyone

View all 37 publications

Co-Authors

View all 104 co-authors