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Semi-supervised reward learning for offline reinforcement learning

Dec 12, 2020
Ksenia Konyushkova, Konrad Zolna, Yusuf Aytar, Alexander Novikov, Scott Reed, Serkan Cabi, Nando de Freitas

* Accepted to Offline Reinforcement Learning Workshop at Neural Information Processing Systems (2020) 

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Offline Learning from Demonstrations and Unlabeled Experience

Nov 27, 2020
Konrad Zolna, Alexander Novikov, Ksenia Konyushkova, Caglar Gulcehre, Ziyu Wang, Yusuf Aytar, Misha Denil, Nando de Freitas, Scott Reed

* Accepted to Offline Reinforcement Learning Workshop at Neural Information Processing Systems (2020) 

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Hyperparameter Selection for Offline Reinforcement Learning

Jul 17, 2020
Tom Le Paine, Cosmin Paduraru, Andrea Michi, Caglar Gulcehre, Konrad Zolna, Alexander Novikov, Ziyu Wang, Nando de Freitas


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RL Unplugged: Benchmarks for Offline Reinforcement Learning

Jul 02, 2020
Caglar Gulcehre, Ziyu Wang, Alexander Novikov, Tom Le Paine, Sergio Gomez Colmenarejo, Konrad Zolna, Rishabh Agarwal, Josh Merel, Daniel Mankowitz, Cosmin Paduraru, Gabriel Dulac-Arnold, Jerry Li, Mohammad Norouzi, Matt Hoffman, Ofir Nachum, George Tucker, Nicolas Heess, Nando de Freitas

* 21 pages including supplementary material, the github link for the datasets: https://github.com/deepmind/deepmind-research/rl_unplugged 

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Combating False Negatives in Adversarial Imitation Learning

Feb 02, 2020
Konrad Zolna, Chitwan Saharia, Leonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio

* This is an extended version of the student abstract published at 34th AAAI Conference on Artificial Intelligence 

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Task-Relevant Adversarial Imitation Learning

Oct 02, 2019
Konrad Zolna, Scott Reed, Alexander Novikov, Sergio Gomez Colmenarej, David Budden, Serkan Cabi, Misha Denil, Nando de Freitas, Ziyu Wang


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The Dynamics of Handwriting Improves the Automated Diagnosis of Dysgraphia

Jun 12, 2019
Konrad Zolna, Thibault Asselborn, Caroline Jolly, Laurence Casteran, Marie-Ange~Nguyen-Morel, Wafa Johal, Pierre Dillenbourg


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Reinforced Imitation in Heterogeneous Action Space

Apr 06, 2019
Konrad Zolna, Negar Rostamzadeh, Yoshua Bengio, Sungjin Ahn, Pedro O. Pinheiro

* The extended version of the work "Reinforced Imitation Learning from Observations" presented on the NeurIPS workshop "Imitation Learning and its Challenges in Robotics" 

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Classifier-agnostic saliency map extraction

Oct 02, 2018
Konrad Zolna, Krzysztof J. Geras, Kyunghyun Cho


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Focused Hierarchical RNNs for Conditional Sequence Processing

Jun 12, 2018
Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Chris Pal

* To appear at ICML 2018 

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Fraternal Dropout

Mar 28, 2018
Konrad Zolna, Devansh Arpit, Dendi Suhubdy, Yoshua Bengio

* Accepted to ICLR 2018. Extended appendix. Added official GitHub code for replication: https://github.com/kondiz/fraternal-dropout . Added references. Corrected typos 

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Improving the Performance of Neural Networks in Regression Tasks Using Drawering

Dec 05, 2016
Konrad Zolna


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