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Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning


Jul 12, 2022
Christian Steinparz, Thomas Schmied, Fabian Paischer, Marius-Constantin Dinu, Vihang Patil, Angela Bitto-Nemling, Hamid Eghbal-zadeh, Sepp Hochreiter

* CoLLAs 2022 

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Hopular: Modern Hopfield Networks for Tabular Data


Jun 01, 2022
Bernhard Schäfl, Lukas Gruber, Angela Bitto-Nemling, Sepp Hochreiter

* 9 pages (+ appendix); 5 figures; source code available at: https://github.com/ml-jku/hopular ; blog post available at: https://ml-jku.github.io/hopular/ 

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History Compression via Language Models in Reinforcement Learning


May 24, 2022
Fabian Paischer, Thomas Adler, Vihang Patil, Angela Bitto-Nemling, Markus Holzleitner, Sebastian Lehner, Hamid Eghbal-zadeh, Sepp Hochreiter


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Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning


Nov 08, 2021
Kajetan Schweighofer, Markus Hofmarcher, Marius-Constantin Dinu, Philipp Renz, Angela Bitto-Nemling, Vihang Patil, Sepp Hochreiter

* Code: https://github.com/ml-jku/OfflineRL 

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CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP


Oct 21, 2021
Andreas Fürst, Elisabeth Rumetshofer, Viet Tran, Hubert Ramsauer, Fei Tang, Johannes Lehner, David Kreil, Michael Kopp, Günter Klambauer, Angela Bitto-Nemling, Sepp Hochreiter

* 14 pages (+ appendix); Blog: https://ml-jku.github.io/cloob GitHub: https://github.com/ml-jku/cloob 

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