| Align-rudder: Learning from few demonstrations by reward redistribution VP Patil, M Hofmarcher, MC Dinu, M Dorfer, PM Blies, J Brandstetter, ... arXiv preprint arXiv:2009.14108, 2020 | 57 | 2020 |
| A Dataset Perspective on Offline Reinforcement Learning K Schweighofer, A Radler, MC Dinu, M Hofmarcher, V Patil, ... arXiv preprint arXiv:2111.04714, 2021 | 49 | 2021 |
| Reactive exploration to cope with non-stationarity in lifelong reinforcement learning CA Steinparz, T Schmied, F Paischer, MC Dinu, VP Patil, A Bitto-Nemling, ... Conference on Lifelong Learning Agents, 441-469, 2022 | 17 | 2022 |
| Addressing parameter choice issues in unsupervised domain adaptation by aggregation MC Dinu, M Holzleitner, M Beck, HD Nguyen, A Huber, H Eghbal-zadeh, ... arXiv preprint arXiv:2305.01281, 2023 | 16 | 2023 |
| Large Language Models Can Self-Improve At Web Agent Tasks A Patel, M Hofmarcher, C Leoveanu-Condrei, MC Dinu, C Callison-Burch, ... arXiv preprint arXiv:2405.20309, 2024 | 14 | 2024 |
| The balancing principle for parameter choice in distance-regularized domain adaptation W Zellinger, N Shepeleva, MC Dinu, H Eghbal-zadeh, HD Nguyen, ... Advances in Neural Information Processing Systems 34, 20798-20811, 2021 | 14 | 2021 |
| XAI and strategy extraction via reward redistribution MC Dinu, M Hofmarcher, VP Patil, M Dorfer, PM Blies, J Brandstetter, ... International Workshop on Extending Explainable AI Beyond Deep Models and …, 2020 | 12 | 2020 |
| SymbolicAI: A framework for logic-based approaches combining generative models and solvers MC Dinu, C Leoveanu-Condrei, M Holzleitner, W Zellinger, S Hochreiter arXiv preprint arXiv:2402.00854, 2024 | 10 | 2024 |
| InfODist: Online distillation with Informative rewards improves generalization in Curriculum Learning R Siripurapu, VP Patil, K Schweighofer, MC Dinu, T Schmied, LEF Diez, ... Deep Reinforcement Learning Workshop NeurIPS 2022, 2022 | 3 | 2022 |
| Parameter Choice and Neuro-Symbolic Approaches for Deep Domain-Invariant Learning MC Dinu Johannes Kepler University, PhD Thesis, 2024 | | 2024 |
| SymbolicAI: A Neuro-Symbolic Perspective on Large Language Models (LLMs) MC Dinu https://github.com/Xpitfire/symbolicai, 2022 | | 2022 |
| Ensemble Learning for Domain Adaptation by Importance Weighted Least Squares MC Dinu, M Holzleitner, M Beck, DH Nguyen, A Huber, H Eghbal-zadeh, ... | | 2022 |
| Overcoming Catastrophic Forgetting with Context-Dependent Activations MC Dinu | | 2019 |
| A Two Time-Scale Update Rule Ensuring Convergence of Episodic Reinforcement Learning Algorithms at the Example of RUDDER MHJA Arjona-Medina, MC Dinu, AVLGS Hochreiter | | 2019 |
| Endbericht zum Berufspraktikum MC Dinu | | 2016 |
| Cross-Language Compiler using Roslyn and Coco/R for the Common Language Runtime MC Dinu | | 2016 |
| Supplementary material for: The balancing principle for parameter choice in distance-regularized domain adaptation W Zellinger, N Shepeleva, MC Dinu, H Eghbal-zadeh, DH Nguyen, ... | | |
