Konrad Zolna

40 papers A* 9B 2Misc 1Journal 26Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
GATS: Gather-Attend-Scatter.
CoRR
Konrad Zolna, Serkan Cabi, Yutian Chen, Eric Lau, Claudio Fantacci, Jurgis Pasukonis, Jost Tobias Springenberg, Sergio Gomez Colmenarejo
2024 A* conf
Genie: Generative Interactive Environments.
ICML
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 Bechtle, Feryal M. P. Behbahani, Stephanie C. Y. Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott E. Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando de Freitas, Satinder Singh, Tim Rocktäschel
2024 J jnl
Genie: Generative Interactive Environments.
CoRR
Jake Bruce, Michael Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Bechtle, Feryal M. P. Behbahani, Stephanie Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott E. Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando de Freitas, Satinder Singh, Tim Rocktäschel
2024 J jnl
RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation.
Trans. Mach. Learn. Res.
Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Manon Devin, Alex X. Lee, Maria Bauzá 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, Emilio Parisotto, Konrad Zolna, Scott E. Reed, Sergio Gómez Colmenarejo, Jon Scholz, Abbas Abdolmaleki, Oliver Groth, Jean-Baptiste Regli, Oleg Sushkov, Thomas Rothörl, José Enrique Chen, Yusuf Aytar, Dave Barker, Joy Ortiz, Martin A. Riedmiller, Jost Tobias Springenberg, Raia Hadsell, Francesco Nori, Nicolas Heess
2023 J jnl
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning.
CoRR
Michaël Mathieu, Sherjil Ozair, Srivatsan Srinivasan, Çaglar Gülçehre, Shangtong Zhang, Ray Jiang, Tom Le Paine, Richard Powell, Konrad Zolna, Julian Schrittwieser, David H. Choi, Petko Georgiev, Daniel Toyama, Aja Huang, Roman Ring, Igor Babuschkin, Timo Ewalds, Mahyar Bordbar, Sarah Henderson, Sergio Gómez Colmenarejo, Aäron van den Oord, Wojciech Marian Czarnecki, Nando de Freitas, Oriol Vinyals
2023 J jnl
RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation.
CoRR
Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Devin, Alex X. Lee, Maria Bauzá, Todor Davchev, Yuxiang Zhou, Agrim Gupta, Akhil Raju, Antoine Laurens, Claudio Fantacci, Valentin Dalibard, Martina Zambelli, Murilo F. Martins, Rugile Pevceviciute, Michiel Blokzijl, Misha Denil, Nathan Batchelor, Thomas Lampe, Emilio Parisotto, Konrad Zolna, Scott E. Reed, Sergio Gómez Colmenarejo, Jon Scholz, Abbas Abdolmaleki, Oliver Groth, Jean-Baptiste Regli, Oleg Sushkov, Thomas Rothörl, José Enrique Chen, Yusuf Aytar, Dave Barker, Joy Ortiz, Martin A. Riedmiller, Jost Tobias Springenberg, Raia Hadsell, Francesco Nori, Nicolas Heess
2022 J jnl
A Generalist Agent.
CoRR
Scott E. Reed, Konrad Zolna, Emilio Parisotto, Sergio Gomez Colmenarejo, Alexander Novikov, Gabriel Barth-Maron, Mai Gimenez, 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
2022 J jnl
A Generalist Agent.
Trans. Mach. Learn. Res.
Scott E. Reed, Konrad Zolna, Emilio Parisotto, Sergio Gómez Colmenarejo, Alexander Novikov, Gabriel Barth-Maron, Mai Gimenez, 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
2021 B conf
Combating False Negatives in Adversarial Imitation Learning.
IJCNN
Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio
2021 J jnl
Regularized Behavior Value Estimation.
CoRR
Çaglar Gülçehre, Sergio Gómez Colmenarejo, Ziyu Wang, Jakub Sygnowski, Thomas Paine, Konrad Zolna, Yutian Chen, Matthew W. Hoffman, Razvan Pascanu, Nando de Freitas
2021 J jnl
Robust Learning-Augmented Caching: An Experimental Study.
CoRR
Jakub Chledowski, Adam Polak, Bartosz Szabucki, Konrad Zolna
2020 J jnl
Classifier-agnostic saliency map extraction.
Comput. Vis. Image Underst.
Konrad Zolna, Krzysztof J. Geras, Kyunghyun Cho
2020 A* conf
Combating False Negatives in Adversarial Imitation Learning (Student Abstract).
AAAI
Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio
2020 J jnl
Combating False Negatives in Adversarial Imitation Learning.
CoRR
Konrad Zolna, Chitwan Saharia, Léonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio
2020 A* conf
Critic Regularized Regression.
NeurIPS
Ziyu Wang, Alexander Novikov, Konrad Zolna, Josh Merel, Jost Tobias Springenberg, Scott E. Reed, Bobak Shahriari, Noah Y. Siegel, Çaglar Gülçehre, Nicolas Heess, Nando de Freitas
2020 J jnl
Critic Regularized Regression.
CoRR
Ziyu Wang, Alexander Novikov, Konrad Zolna, Jost Tobias Springenberg, Scott E. Reed, Bobak Shahriari, Noah Y. Siegel, Josh Merel, Çaglar Gülçehre, Nicolas Heess, Nando de Freitas
2020 J jnl
Hyperparameter Selection for Offline Reinforcement Learning.
CoRR
Tom Le Paine, Cosmin Paduraru, Andrea Michi, Çaglar Gülçehre, Konrad Zolna, Alexander Novikov, Ziyu Wang, Nando de Freitas
2020 A* conf
Leakage-Robust Classifier via Mask-Enhanced Training (Student Abstract).
AAAI
Damian Stachura, Christopher Galias, Konrad Zolna
2020 J jnl
Offline Learning from Demonstrations and Unlabeled Experience.
CoRR
Konrad Zolna, Alexander Novikov, Ksenia Konyushkova, Çaglar Gülçehre, Ziyu Wang, Yusuf Aytar, Misha Denil, Nando de Freitas, Scott E. Reed
2020 A* conf
RL Unplugged: A Collection of Benchmarks for Offline Reinforcement Learning.
NeurIPS
Çaglar Gülçehre, Ziyu Wang, Alexander Novikov, Thomas Paine, Sergio Gómez Colmenarejo, Konrad Zolna, Rishabh Agarwal, Josh Merel, Daniel J. Mankowitz, Cosmin Paduraru, Gabriel Dulac-Arnold, Jerry Li, Mohammad Norouzi, Matthew Hoffman, Nicolas Heess, Nando de Freitas
2020 J jnl
RL Unplugged: Benchmarks for Offline Reinforcement Learning.
CoRR
Çaglar Gülçehre, Ziyu Wang, Alexander Novikov, Tom Le Paine, Sergio Gómez Colmenarejo, Konrad Zolna, Rishabh Agarwal, Josh Merel, Daniel J. Mankowitz, Cosmin Paduraru, Gabriel Dulac-Arnold, Jerry Li, Mohammad Norouzi, Matt Hoffman, Ofir Nachum, George Tucker, Nicolas Heess, Nando de Freitas
2020 — conf
Scaling data-driven robotics with reward sketching and batch reinforcement learning.
Robotics: Science and Systems
Serkan Cabi, Sergio Gómez Colmenarejo, Alexander Novikov, Ksenia Konyushkova, Scott E. Reed, Rae Jeong, Konrad Zolna, Yusuf Aytar, David Budden, Mel Vecerík, Oleg Sushkov, David Barker, Jonathan Scholz, Misha Denil, Nando de Freitas, Ziyu Wang
2020 J jnl
Semi-supervised reward learning for offline reinforcement learning.
CoRR
Ksenia Konyushkova, Konrad Zolna, Yusuf Aytar, Alexander Novikov, Scott E. Reed, Serkan Cabi, Nando de Freitas
2020 Misc conf
Task-Relevant Adversarial Imitation Learning.
CoRL
Konrad Zolna, Scott E. Reed, Alexander Novikov, Sergio Gómez Colmenarejo, David Budden, Serkan Cabi, Misha Denil, Nando de Freitas, Ziyu Wang
2019 J jnl
A Framework for Data-Driven Robotics.
CoRR
Serkan Cabi, Sergio Gómez Colmenarejo, Alexander Novikov, Ksenia Konyushkova, Scott E. Reed, Rae Jeong, Konrad Zolna, Yusuf Aytar, David Budden, Mel Vecerík, Oleg Sushkov, David Barker, Jonathan Scholz, Misha Denil, Nando de Freitas, Ziyu Wang
2019 A* conf
Adversarial Framing for Image and Video Classification.
AAAI
Michal Zajac, Konrad Zolna, Negar Rostamzadeh, Pedro O. Pinheiro
2019 A* conf
Classifier-Agnostic Saliency Map Extraction.
AAAI
Konrad Zolna, Krzysztof J. Geras, Kyunghyun Cho
2019 J jnl
Reinforced Imitation in Heterogeneous Action Space.
CoRR
Konrad Zolna, Negar Rostamzadeh, Yoshua Bengio, Sungjin Ahn, Pedro O. Pinheiro
2019 J jnl
Split Batch Normalization: Improving Semi-Supervised Learning under Domain Shift.
CoRR
Michal Zajac, Konrad Zolna, Stanislaw Jastrzebski
2019 J jnl
Task-Relevant Adversarial Imitation Learning.
CoRR
Konrad Zolna, Scott E. Reed, Alexander Novikov, Sergio Gomez Colmenarejo, David Budden, Serkan Cabi, Misha Denil, Nando de Freitas, Ziyu Wang
2019 J jnl
The Dynamics of Handwriting Improves the Automated Diagnosis of Dysgraphia.
CoRR
Konrad Zolna, Thibault Asselborn, Caroline Jolly, Laurence Casteran, Marie-Ange Nguyen-Morel, Wafa Johal, Pierre Dillenbourg
2018 J jnl
Adversarial Framing for Image and Video Classification.
CoRR
Michal Zajac, Konrad Zolna, Negar Rostamzadeh, Pedro O. Pinheiro
2018 J jnl
Classifier-agnostic saliency map extraction.
CoRR
Konrad Zolna, Krzysztof J. Geras, Kyunghyun Cho
2018 A* conf
Focused Hierarchical RNNs for Conditional Sequence Processing.
ICML
Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Christopher J. Pal
2018 J jnl
Focused Hierarchical RNNs for Conditional Sequence Processing.
CoRR
Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Chris Pal
2018 — conf
Fraternal Dropout.
ICLR (Poster)
Konrad Zolna, Devansh Arpit, Dendi Suhubdy, Yoshua Bengio
2017 J jnl
Fraternal Dropout.
CoRR
Konrad Zolna, Devansh Arpit, Dendi Suhubdy, Yoshua Bengio
2017 B conf
Improving the performance of neural networks in regression tasks using drawering.
IJCNN
Konrad Zolna
2017 A* conf
User Modeling Using LSTM Networks.
AAAI
Konrad Zolna, Bartlomiej Romanski
2016 J jnl
Improving the Performance of Neural Networks in Regression Tasks Using Drawering.
CoRR
Konrad Zolna