User Modeling Using LSTM Networks. - Konrad Zolna; Bartlomiej Romanski (AAAI, 2017)

Improving the performance of neural networks in regression tasks using drawering. - Konrad Zolna (IJCNN, 2017)

Fraternal Dropout. - Konrad Zolna; Devansh Arpit; Dendi Suhubdy; Yoshua Bengio (ICLR (Poster), 2018)

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 (ICML, 2018)

Adversarial Framing for Image and Video Classification. - Michal Zajac 005; Konrad Zolna; Negar Rostamzadeh; Pedro O. Pinheiro (AAAI, 2019)

Reinforced Imitation in Heterogeneous Action Space. - Konrad Zolna; Negar Rostamzadeh; Yoshua Bengio; Sungjin Ahn; Pedro O. Pinheiro (CoRR, 2019)

Split Batch Normalization: Improving Semi-Supervised Learning under Domain Shift. - Michal Zajac 005; Konrad Zolna; Stanislaw Jastrzebski (CoRR, 2019)

The Dynamics of Handwriting Improves the Automated Diagnosis of Dysgraphia. - Konrad Zolna; Thibault Asselborn; Caroline Jolly; Laurence Casteran; Marie-Ange Nguyen-Morel; Wafa Johal; Pierre Dillenbourg (CoRR, 2019)

A Framework for Data-Driven Robotics. - Serkan Cabi; Sergio Gómez Colmenarejo; Alexander Novikov 001; Ksenia Konyushkova; Scott E. Reed; Rae Jeong; Konrad Zolna; Yusuf Aytar; David Budden; Mel Vecerík; Oleg Sushkov; David Barker; et al. (CoRR, 2019)

Leakage-Robust Classifier via Mask-Enhanced Training (Student Abstract). - Damian Stachura; Christopher Galias; Konrad Zolna (AAAI, 2020)

Combating False Negatives in Adversarial Imitation Learning (Student Abstract). - Konrad Zolna; Chitwan Saharia; Léonard Boussioux; David Yu-Tung Hui; Maxime Chevalier-Boisvert; Dzmitry Bahdanau; Yoshua Bengio (AAAI, 2020)

Task-Relevant Adversarial Imitation Learning. - Konrad Zolna; Scott E. Reed; Alexander Novikov 001; Sergio Gómez Colmenarejo; David Budden; Serkan Cabi; Misha Denil; Nando de Freitas; Ziyu Wang 001 (CoRL, 2020)

Critic Regularized Regression. - Ziyu Wang 001; Alexander Novikov 001; Konrad Zolna; Josh Merel; Jost Tobias Springenberg; Scott E. Reed; Bobak Shahriari; Noah Y. Siegel; Çaglar Gülçehre; Nicolas Heess; Nando de Freitas (NeurIPS, 2020)

RL Unplugged: A Collection of Benchmarks for Offline Reinforcement Learning. - Çaglar Gülçehre; Ziyu Wang 001; Alexander Novikov 001; Thomas Paine; Sergio Gómez Colmenarejo; Konrad Zolna; Rishabh Agarwal; Josh Merel; Daniel J. Mankowitz; Cosmin Paduraru; Gabriel Dulac-Arnold; Jerry Li; et al. (NeurIPS, 2020)

Scaling data-driven robotics with reward sketching and batch reinforcement learning. - Serkan Cabi; Sergio Gómez Colmenarejo; Alexander Novikov 001; Ksenia Konyushkova; Scott E. Reed; Rae Jeong; Konrad Zolna; Yusuf Aytar; David Budden; Mel Vecerík; Oleg Sushkov; David Barker; et al. (Robotics: Science and Systems, 2020)

RL Unplugged: Benchmarks for Offline Reinforcement Learning. - Çaglar Gülçehre; Ziyu Wang 001; Alexander Novikov 001; Tom Le Paine; Sergio Gómez Colmenarejo; Konrad Zolna; Rishabh Agarwal; Josh Merel; Daniel J. Mankowitz; Cosmin Paduraru; Gabriel Dulac-Arnold; Jerry Li; et al. (CoRR, 2020)

Hyperparameter Selection for Offline Reinforcement Learning. - Tom Le Paine; Cosmin Paduraru; Andrea Michi; Çaglar Gülçehre; Konrad Zolna; Alexander Novikov 001; Ziyu Wang 001; Nando de Freitas (CoRR, 2020)

Offline Learning from Demonstrations and Unlabeled Experience. - Konrad Zolna; Alexander Novikov 001; Ksenia Konyushkova; Çaglar Gülçehre; Ziyu Wang 001; Yusuf Aytar; Misha Denil; Nando de Freitas; Scott E. Reed (CoRR, 2020)

Semi-supervised reward learning for offline reinforcement learning. - Ksenia Konyushkova; Konrad Zolna; Yusuf Aytar; Alexander Novikov 001; Scott E. Reed; Serkan Cabi; Nando de Freitas (CoRR, 2020)

Classifier-agnostic saliency map extraction. - Konrad Zolna; Krzysztof J. Geras; Kyunghyun Cho (Comput. Vis. Image Underst., 2020)

Robust Learning-Augmented Caching: An Experimental Study. - Jakub Chledowski; Adam Polak 001; Bartosz Szabucki; Konrad Tomasz Zolna (ICML, 2021)

Combating False Negatives in Adversarial Imitation Learning. - Konrad Zolna; Chitwan Saharia; Léonard Boussioux; David Yu-Tung Hui; Maxime Chevalier-Boisvert; Dzmitry Bahdanau; Yoshua Bengio (IJCNN, 2021)

Regularized Behavior Value Estimation. - Çaglar Gülçehre; Sergio Gómez Colmenarejo; Ziyu Wang 001; Jakub Sygnowski; Thomas Paine; Konrad Zolna; Yutian Chen 001; Matthew W. Hoffman; Razvan Pascanu; Nando de Freitas (CoRR, 2021)

A Generalist Agent. - Scott E. Reed; Konrad Zolna; Emilio Parisotto; Sergio Gómez Colmenarejo; Alexander Novikov 001; Gabriel Barth-Maron; Mai Gimenez; Yury Sulsky; Jackie Kay; Jost Tobias Springenberg; Tom Eccles; Jake Bruce; et al. (Trans. Mach. Learn. Res., 2022)

RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation. - Konstantinos Bousmalis; Giulia Vezzani; Dushyant Rao; Coline Devin; Alex X. Lee; Maria Bauzá 001; Todor Davchev; Yuxiang Zhou; Agrim Gupta; Akhil Raju; Antoine Laurens; Claudio Fantacci; et al. (CoRR, 2023)

AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning. - 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; et al. (CoRR, 2023)

Genie: Generative Interactive Environments. - Jake Bruce; Michael D. Dennis; Ashley Edwards; Jack Parker-Holder; Yuge Shi; Edward Hughes 001; Matthew Lai; Aditi Mavalankar; Richie Steigerwald; Chris Apps; Yusuf Aytar; Sarah Bechtle; et al. (ICML, 2024)

GATS: Gather-Attend-Scatter. - Konrad Zolna; Serkan Cabi; Yutian Chen 001; Eric Lau; Claudio Fantacci; Jurgis Pasukonis; Jost Tobias Springenberg; Sergio Gomez Colmenarejo (CoRR, 2024)

Imagen 3. - Jason Baldridge; Jakob Bauer; Mukul Bhutani; Nicole Brichtova; Andrew Bunner; Kelvin Chan; Yichang Chen; Sander Dieleman; Yuqing Du; Zach Eaton-Rosen; Hongliang Fei; Nando de Freitas; et al. (CoRR, 2024)

RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation. - 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; et al. (Trans. Mach. Learn. Res., 2024)