Marius-Constantin Dinu
Marius-Constantin Dinu
PhD Student, Institute of Machine Learning, JKU, Linz, Dynatrace Research
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
Overcoming Catastrophic Forgetting with Context-Dependent Activations/submitted by Marius-Constatin Dinu, BSc
MC Dinu
Universitšt Linz, 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
Cross-Language Compiler using Roslyn and Coco/R for the Common Language Runtime
MC Dinu
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