Konrad Zolna

Research Scientist, DeepMind

Joined

October 2017

Names

Konrad Zolna

Emails

****@gmail.com (Confirmed)

Personal Links

Google Scholar

Career & Education History

Research Scientist

DeepMind (deepmind.com)

2019 – Present

PhD student

Jagiellonian University (uj.edu.pl)

2014 – 2021

MS student

Jagiellonian University (uj.edu.pl)

2012 – 2014

Undergrad student

Jagiellonian University (uj.edu.pl)

2009 – 2012

Advisors, Relations & Conflicts

PhD Advisor

Grzegorz Świrszcz

2014 – 2021

Expertise

deep learning

2014 – Present

Publications

Genie: Generative Interactive Environments
Jake Bruce, Michael D Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Maria Elisabeth Bechtle, Feryal Behbahani, Stephanie C.Y. Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott Reed, Jingwei Zhang et al. (5 additional authors not shown)
- ICML 2024 Oral
- Readers: Everyone
RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation
Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Manon Devin, Alex X. Lee, Maria Bauza Villalonga, Todor Davchev, Yuxiang Zhou, Agrim Gupta, Akhil Raju, Antoine Laurens, Claudio Fantacci, Valentin Dalibard, Martina Zambelli, Murilo Fernandes Martins, Rugile Pevceviciute, Michiel Blokzijl, Misha Denil, Nathan Batchelor, Thomas Lampe et al. (19 additional authors not shown)
- Accepted by TMLR
- Readers: Everyone
A Generalist Agent
Scott Reed, Konrad Zolna, Emilio Parisotto, Sergio Gómez Colmenarejo, Alexander Novikov, Gabriel Barth-maron, Mai Giménez, Yury Sulsky, Jackie Kay, Jost Tobias Springenberg, Tom Eccles, Jake Bruce, Ali Razavi, Ashley Edwards, Nicolas Heess, Yutian Chen, Raia Hadsell, Oriol Vinyals, Mahyar Bordbar, Nando de Freitas
- Accepted by TMLR
- Readers: Everyone
StarCraft II Unplugged: Large Scale Offline Reinforcement Learning
Michael Mathieu, Sherjil Ozair, Srivatsan Srinivasan, Caglar Gulcehre, Shangtong Zhang, Ray Jiang, Tom Le Paine, Konrad Zolna, Richard Powell, Julian Schrittwieser, David Choi, Petko Georgiev, Daniel Kenji Toyama, Aja Huang, Roman Ring, Igor Babuschkin, Timo Ewalds, Mahyar Bordbar, Sarah Henderson, Sergio Gómez Colmenarejo et al. (4 additional authors not shown)
- 12 Oct 2021 (modified: 05 May 2023)
- Deep RL Workshop NeurIPS 2021
- Readers: Everyone
Addressing Extrapolation Error in Deep Offline Reinforcement Learning
Caglar Gulcehre, Sergio Gómez Colmenarejo, ziyu wang, Jakub Sygnowski, Thomas Paine, Konrad Zolna, Yutian Chen, Matthew Hoffman, Razvan Pascanu, Nando de Freitas
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Focused Hierarchical RNNs for Conditional Sequence Processing
Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Christopher J. Pal
- 2018 (modified: 11 Nov 2022)
- ICML 2018
- Readers: Everyone
User Modeling Using LSTM Networks
Konrad Zolna, Bartlomiej Romanski
- 2017 (modified: 16 Jul 2019)
- AAAI 2017
- Readers: Everyone

Co-Authors

View all 101 co-authors

Konrad Zolna

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Genie: Generative Interactive Environments

RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation

A Generalist Agent

StarCraft II Unplugged: Large Scale Offline Reinforcement Learning

Addressing Extrapolation Error in Deep Offline Reinforcement Learning

Focused Hierarchical RNNs for Conditional Sequence Processing

User Modeling Using LSTM Networks

Co-Authors