ML Anthology

Hofmarcher, Markus

12 publications

NeurIPSW 2023 Contrastive Abstraction for Reinforcement Learning Vihang Patil, Markus Hofmarcher, Elisabeth Rumetshofer, Sepp Hochreiter
NeurIPS 2023 Learning to Modulate Pre-Trained Models in RL Thomas Schmied, Markus Hofmarcher, Fabian Paischer, Razvan Pascanu, Sepp Hochreiter
ICLRW 2023 Learning to Modulate Pre-Trained Models in RL Thomas Schmied, Markus Hofmarcher, Fabian Paischer, Razvan Pascanu, Sepp Hochreiter
NeurIPS 2023 Semantic HELM: A Human-Readable Memory for Reinforcement Learning Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter
CoLLAs 2022 A Dataset Perspective on Offline Reinforcement Learning Kajetan Schweighofer, Marius-constantin Dinu, Andreas Radler, Markus Hofmarcher, Vihang Prakash Patil, Angela Bitto-nemling, Hamid Eghbal-zadeh, Sepp Hochreiter
ICML 2022 Align-RUDDER: Learning from Few Demonstrations by Reward Redistribution Vihang Patil, Markus Hofmarcher, Marius-Constantin Dinu, Matthias Dorfer, Patrick M Blies, Johannes Brandstetter, José Arjona-Medina, Sepp Hochreiter
NeurIPSW 2022 Foundation Models for History Compression in Reinforcement Learning Fabian Paischer, Thomas Adler, Andreas Radler, Markus Hofmarcher, Sepp Hochreiter
NeurIPSW 2022 Foundation Models for History Compression in Reinforcement Learning Fabian Paischer, Thomas Adler, Andreas Radler, Markus Hofmarcher, Sepp Hochreiter
NeurIPSW 2022 Toward Semantic History Compression for Reinforcement Learning Fabian Paischer, Thomas Adler, Andreas Radler, Markus Hofmarcher, Sepp Hochreiter
NeurIPSW 2021 Modern Hopfield Networks for Return Decomposition for Delayed Rewards Michael Widrich, Markus Hofmarcher, Vihang Prakash Patil, Angela Bitto-Nemling, Sepp Hochreiter
NeurIPSW 2021 Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning Kajetan Schweighofer, Markus Hofmarcher, Marius-Constantin Dinu, Philipp Renz, Angela Bitto-Nemling, Vihang Prakash Patil, Sepp Hochreiter
ICLR 2019 Human-Level Protein Localization with Convolutional Neural Networks Elisabeth Rumetshofer, Markus Hofmarcher, Clemens Röhrl, Sepp Hochreiter, Günter Klambauer