Marius-Constantin Dinu

According to our database, Marius-Constantin Dinu authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Parameter Choice and Neuro-Symbolic Approaches for Deep Domain-Invariant Learning.

Marius-Constantin Dinu

CoRR, 2024

Large Language Models Can Self-Improve At Web Agent Tasks.

Ajay Patel, Markus Hofmarcher, Claudiu Leoveanu-Condrei, Marius-Constantin Dinu, Chris Callison-Burch, Sepp Hochreiter

CoRR, 2024

SymbolicAI: A framework for logic-based approaches combining generative models and solvers.

Marius-Constantin Dinu, Claudiu Leoveanu-Condrei, Markus Holzleitner, Werner Zellinger, Sepp Hochreiter

CoRR, 2024

2023

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 Alois Moser, Sergei V. Pereverzyev, Sepp Hochreiter, Werner Zellinger

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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 Antonio Arjona-Medina, Sepp Hochreiter

Proceedings of the International Conference on Machine Learning, 2022

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

Proceedings of the Conference on Lifelong Learning Agents, 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

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning.

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

CoRR, 2021

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

XAI and Strategy Extraction via Reward Redistribution.

Marius-Constantin Dinu, Markus Hofmarcher, Vihang Prakash Patil, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, Jose A. Arjona-Medina, Sepp Hochreiter

Proceedings of the xxAI - Beyond Explainable AI, 2020