| 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 | 12 | 2020 |
| 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 | 1 | 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 …, 2022 | | 2022 |
| Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning K Schweighofer, M Hofmarcher, MC Dinu, P Renz, A Bitto-Nemling, ... arXiv preprint arXiv:2111.04714, 2021 | | 2021 |
| Overcoming Catastrophic Forgetting with Context-Dependent Activations/submitted by Marius-Constatin Dinu, BSc MC Dinu Universität Linz, 2019 | | 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 | | |
| Endbericht zum Berufspraktikum MC DINU | | |
| Cross-Language Compiler using Roslyn and Coco/R for the Common Language Runtime MC Dinu | | |
