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Timo P. Gros
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Deep statistical model checking
TP Gros, H Hermanns, J Hoffmann, M Klauck, M Steinmetz
Formal Techniques for Distributed Objects, Components, and Systems: 40th …, 2020
472020
Tracking the Race Between Deep Reinforcement Learning and Imitation Learning
TP Gros, D Höller, J Hoffmann, V Wolf
International Conference on Quantitative Evaluation of Systems, 11-17, 2020
162020
Real-Time Decision Making for a Car Manufacturing Process Using Deep Reinforcement Learning
TP Gros, J Groß, V Wolf
2020 Winter Simulation Conference (WSC), 3032-3044, 2020
152020
Metamorphic relations via relaxations: An approach to obtain oracles for action-policy testing
HF Eniser, TP Gros, V Wüstholz, J Hoffmann, M Christakis
Proceedings of the 31st ACM SIGSOFT International Symposium on Software …, 2022
142022
TraceVis: towards visualization for deep statistical model checking
TP Gros, D Groß, S Gumhold, J Hoffmann, M Klauck, M Steinmetz
Leveraging Applications of Formal Methods, Verification and Validation …, 2021
132021
MoGym: Using Formal Models for Training and Verifying Decision-making Agents
TP Gros, H Hermanns, J Hoffmann, M Klauck, MA Köhl, V Wolf
International Conference on Computer Aided Verification, 430-443, 2022
112022
Lab Conditions for Research on Explainable Automated Decisions
C Baier, M Christakis, TP Gros, D Groß, S Gumhold, H Hermanns, ...
Trustworthy AI–Integrating Learning, Optimization and Reasoning: First …, 2021
112021
DSMC evaluation stages: Fostering robust and safe behavior in deep reinforcement learning
TP Gros, D Höller, J Hoffmann, M Klauck, H Meerkamp, V Wolf
Quantitative Evaluation of Systems: 18th International Conference, QEST 2021 …, 2021
102021
XAI Requirements in Smart Production Processes: A Case Study
D Baum, K Baum, TP Gros, V Wolf
World Conference on Explainable Artificial Intelligence, 3-24, 2023
92023
Debugging a Policy: Automatic Action-Policy Testing in AI Planning
M Steinmetz, D Fišer, HF Eniser, P Ferber, TP Gros, P Heim, D Höller, ...
Proceedings of the International Conference on Automated Planning and …, 2022
92022
Analyzing neural network behavior through deep statistical model checking
TP Gros, H Hermanns, J Hoffmann, M Klauck, M Steinmetz
International Journal on Software Tools for Technology Transfer 25 (3), 407-426, 2023
82023
Tracking the Race Between Deep Reinforcement Learning and Imitation Learning - Extended Version
TP Gros, D Höller, J Hoffmann, V Wolf
arXiv preprint arXiv:2008.00766, 2020
62020
Tracking the race: Analyzing racetrack agents trained with imitation learning and deep reinforcement learning
TP Gros
Master's thesis, 2021
52021
Models and Infrastructure used in “Deep Statistical Model Checking”(2020)
TP Gros, H Hermanns, J Hoffmann, M Klauck, M Steinmetz
Available at DOI: https://doi. org/10.5281/zenodo 3760098, 0
5
DSMC Evaluation Stages: Fostering Robust and Safe Behavior in Deep Reinforcement Learning–Extended Version
TP Gros, J Groß, D Höller, J Hoffmann, M Klauck, H Meerkamp, NJ Müller, ...
ACM Transactions on Modeling and Computer Simulation 33 (4), 1-28, 2023
42023
Markov automata taken by Storm
TP Gros
Bachelor's thesis, Saarland University, Germany, 2018
32018
Glyph-Based Visual Analysis of Q-Learning Based Action Policy Ensembles on Racetrack
D Groß, M Klauck, TP Gros, M Steinmetz, J Hoffmann, S Gumhold
International Conference on Information Visualisation (IV’22), 2022
22022
Debugging a Policy: A Framework for Automatic Action Policy Testing
M Steinmetz, TP Gros, P Heim, D Höller, J Hoffmann
PRL@ ICAPS, 2021
12021
Motion Primitives as the Action Space of Deep Q-Learning for Planning in Autonomous Driving
T Schneider, MVA Pedrosa, TP Gros, V Wolf, K Flaßkamp
IEEE Transactions on Intelligent Transportation Systems, 2024
2024
Acting for the Right Reasons: Creating Reason-Sensitive Artificial Moral Agents
K Baum, L Dargasz, F Jahn, TP Gros, V Wolf
arXiv preprint arXiv:2409.15014, 2024
2024
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