Marius-Constantin Dinu

Joined

October 2020

Names

Marius-Constantin Dinu (Preferred)

Marius-Constantin Dinu Dinu

Emails

****@hotmail.com (Confirmed)

****@ml.jku.at (Confirmed)

Personal Links

Career & Education History

PhD student

Johannes Kepler University Linz (jku.at)

2019 – 2023

Advisors, Relations & Conflicts

PhD Advisor

Sepp Hochreiter

2019 – Present

Expertise

Reinforcement Learning

Deep Learning

RNN

Continual Learning

Domain Adaptation

2019 – Present

Publications

InfODist: Online distillation with Informative rewards improves generalization in Curriculum Learning
Rahul Siripurapu, Vihang Prakash Patil, Kajetan Schweighofer, Marius-Constantin Dinu, Thomas Schmied, Luis Eduardo Ferro Diez, Markus Holzleitner, Hamid Eghbal-zadeh, Michael K Kopp, Sepp Hochreiter
- 08 Oct 2022 (modified: 05 May 2023)
- Deep RL Workshop 2022
- Readers: Everyone
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
Marius-Constantin Dinu, Markus Holzleitner, Maximilian Beck, Hoan Duc Nguyen, Andrea Huber, Hamid Eghbal-zadeh, Bernhard A. Moser, Sergei Pereverzyev, Sepp Hochreiter, Werner Zellinger
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- ICLR 2023 notable top 5%
- Readers: Everyone
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
- 2022 (modified: 24 Apr 2023)
- CoLLAs 2022
- Readers: Everyone
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution
Vihang P. Patil, Markus Hofmarcher, Marius-Constantin Dinu, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, José Antonio Arjona-Medina, Sepp Hochreiter
- 2022 (modified: 24 Apr 2023)
- ICML 2022
- Readers: Everyone
Reactive Exploration to Cope With Non-Stationarity in Lifelong Reinforcement Learning
Christian Alexander Steinparz, Thomas Schmied, Fabian Paischer, Marius-Constantin Dinu, Vihang Prakash Patil, Angela Bitto-Nemling, Hamid Eghbal-zadeh, Sepp Hochreiter
- 2022 (modified: 24 Apr 2023)
- CoLLAs 2022
- Readers: Everyone
Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning
Christian Alexander Steinparz, Thomas Schmied, Fabian Paischer, Marius-Constantin Dinu, Vihang P. Patil, Angela Bitto-Nemling, Hamid Eghbal-zadeh, Sepp Hochreiter
- 2022 (modified: 24 Apr 2023)
- CoRR 2022
- Readers: Everyone
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
- 12 Oct 2021 (modified: 12 Oct 2025)
- Deep RL Workshop NeurIPS 2021
- Readers: Everyone
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution
Vihang Prakash Patil, Markus Hofmarcher, Marius-Constantin Dinu, Matthias Dorfer, Patrick M Blies, Johannes Brandstetter, Jose Arjona-Medina, Sepp Hochreiter
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Submitted
- Readers: Everyone
The balancing principle for parameter choice in distance-regularized domain adaptation
Werner Zellinger, Natalia Shepeleva, Marius-Constantin Dinu, Hamid Eghbal-zadeh, Hoan Duc Nguyen, Bernhard Nessler, Sergei Pereverzyev, Bernhard A. Moser
- Published: 09 Nov 2021, Last Modified: 05 May 2023
- NeurIPS 2021 Poster
- Readers: Everyone
The balancing principle for parameter choice in distance-regularized domain adaptation
Werner Zellinger, Natalia Shepeleva, Marius-Constantin Dinu, Hamid Eghbal-zadeh, Hoan Duc Nguyen, Bernhard Nessler, Sergei V. Pereverzyev, Bernhard Alois Moser
- 2021 (modified: 17 Apr 2023)
- NeurIPS 2021
- Readers: Everyone

View all 13 publications

Co-Authors

View all 33 co-authors