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2020 – today
- 2026
[d6]Nicola J. Müller
, Moritz Oster, Isabel Valera, Jörg Hoffmann, Timo Philipp Gros:
Per-Domain Generalizing Policies: On Learning Efficient and Robust Q-Value Functions. Zenodo, 2026
- [i5]Nicola J. Müller, Moritz Oster, Isabel Valera, Jörg Hoffmann, Timo P. Gros:
Per-Domain Generalizing Policies: On Learning Efficient and Robust Q-Value Functions (Extended Version with Technical Appendix). CoRR abs/2603.17544 (2026) - [i4]Julius Gabelmann, Felix Jahn, Kevin Baum, Sophie van Rossum, Emely Wuenscher, Timo P. Gros, Verena Wolf:
Modularizing Educational LLM-Agency for Fostering Responsible Learning Assistance. CoRR abs/2605.30187 (2026) - 2025
- [c16]Timo P. Gros, Nicola J. Müller, Daniel Fiser, Isabel Valera, Verena Wolf, Jörg Hoffmann:
Per-Domain Generalizing Policies: On Validation Instances and Scaling Behavior. ICAPS 2025: 198-203 - [c15]Timo P. Gros, Arnd Hartmanns, Ivo Hoese, Joshua Meyer, Nicola J. Müller, Verena Wolf:
PyDSMC: Statistical Model Checking for Neural Agents Using the Gymnasium Interface. QEST+FORMATS 2025: 134-156 - [c14]Timo P. Gros, David Groß, Julius Kamp, Stefan Gumhold, Jörg Hoffmann:
Visual Analysis of Action Policy Behavior: A Case Study in Grid-World Driving. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2025: 145-152 - [d5]Timo P. Gros, David Groß, Julius Kamp, Stefan Gumhold, Jörg Hoffmann:
PGTG Trace Viewer for Visual Analysis of Action Policy Behaviour: Tool, Source Code and User Study Resources. Zenodo, 2025 - [d4]Timo P. Gros, Nicola J. Müller, Daniel Fiser, Isabel Valera, Verena Wolf, Jörg Hoffmann:
Per-Domain Generalizing Policies: On Validation Instances and Scaling Behavior: Code and Data. Version 1. Zenodo, 2025 [all versions] - [d3]Timo Philipp Gros, Nicola J. Müller, Daniel Fiser, Isabel Valera, Verena Wolf, Jörg Hoffmann:
Per-Domain Generalizing Policies: On Validation Instances and Scaling Behavior: Code and Data. Version 2. Zenodo, 2025 [all versions] - [i3]Timo P. Gros, Nicola J. Müller, Daniel Fiser, Isabel Valera, Verena Wolf, Jörg Hoffmann:
Per-Domain Generalizing Policies: On Validation Instances and Scaling Behavior. CoRR abs/2505.00439 (2025) - 2024
- [j3]Tristan Schneider, Matheus V. A. Pedrosa, Timo P. Gros, Verena Wolf, Kathrin Flaßkamp:
Motion Primitives as the Action Space of Deep Q-Learning for Planning in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 25(11): 17852-17864 (2024) - [c13]Timo P. Gros, Nicola J. Müller, Daniel Höller, Verena Wolf:
Safe Reinforcement Learning Through Regret and State Restorations in Evaluation Stages. Principles of Verification (3) 2024: 18-38 - [i2]Kevin Baum, Lisa Dargasz, Felix Jahn, Timo P. Gros, Verena Wolf:
Acting for the Right Reasons: Creating Reason-Sensitive Artificial Moral Agents. CoRR abs/2409.15014 (2024) - 2023
- [j2]Timo P. Gros, Holger Hermanns, Jörg Hoffmann, Michaela Klauck, Marcel Steinmetz:
Analyzing neural network behavior through deep statistical model checking. Int. J. Softw. Tools Technol. Transf. 25(3): 407-426 (2023) - [j1]Timo P. Gros, Joschka Groß, Daniel Höller, Jörg Hoffmann, Michaela Klauck, Hendrik Meerkamp, Nicola J. Müller, Lukas Schaller, Verena Wolf:
DSMC Evaluation Stages: Fostering Robust and Safe Behavior in Deep Reinforcement Learning - Extended Version. ACM Trans. Model. Comput. Simul. 33(4): 17:1-17:28 (2023) - [c12]Deborah Baum, Kevin Baum, Timo P. Gros, Verena Wolf:
XAI Requirements in Smart Production Processes: A Case Study. xAI (1) 2023: 3-24 - 2022
- [c11]Marcel Steinmetz, Daniel Fiser, Hasan Ferit Eniser, Patrick Ferber, Timo P. Gros, Philippe Heim, Daniel Höller, Xandra Schuler, Valentin Wüstholz, Maria Christakis, Jörg Hoffmann:
Debugging a Policy: Automatic Action-Policy Testing in AI Planning. ICAPS 2022: 353-361 - [c10]Timo P. Gros, Holger Hermanns, Jörg Hoffmann, Michaela Klauck, Maximilian A. Köhl, Verena Wolf:
MoGym: Using Formal Models for Training and Verifying Decision-making Agents. CAV (2) 2022: 430-443 - [c9]Hasan Ferit Eniser, Timo P. Gros, Valentin Wüstholz, Jörg Hoffmann, Maria Christakis:
Metamorphic relations via relaxations: an approach to obtain oracles for action-policy testing. ISSTA 2022: 52-63 - [c8]David Groß, Michaela Klauck, Timo P. Gros, Marcel Steinmetz, Jörg Hoffmann, Stefan Gumhold:
Glyph-Based Visual Analysis of Q-Leaning Based Action Policy Ensembles on Racetrack. IV 2022: 1-10 - [d2]Timo P. Gros, Holger Hermanns, Jörg Hoffmann, Michaela Klauck, Maximilian A. Köhl, Verena Wolf:
Artifact for the Tool Paper: MoGym: Using Formal Models for Training and Verifying Decision-making Agents. Zenodo, 2022 - 2021
- [c7]Timo P. Gros, Daniel Höller, Jörg Hoffmann, Michaela Klauck, Hendrik Meerkamp, Verena Wolf:
DSMC Evaluation Stages: Fostering Robust and Safe Behavior in Deep Reinforcement Learning. QEST 2021: 197-216 - [d1]Timo P. Gros, Holger Hermanns, Michaela Klauck, Maximilian A. Köhl:
Artifact of "MoGym: Using Formal Models for Training and Verifying Decision Agents". Zenodo, 2021 - 2020
- [c6]Timo P. Gros, Holger Hermanns, Jörg Hoffmann, Michaela Klauck, Marcel Steinmetz:
Deep Statistical Model Checking. FORTE 2020: 96-114 - [c5]Timo P. Gros, David Groß, Stefan Gumhold, Jörg Hoffmann, Michaela Klauck, Marcel Steinmetz:
TraceVis: Towards Visualization for Deep Statistical Model Checking. ISoLA (4) 2020: 27-46 - [c4]Timo P. Gros, Daniel Höller, Jörg Hoffmann, Verena Wolf:
Tracking the Race Between Deep Reinforcement Learning and Imitation Learning. QEST 2020: 11-17 - [c3]Christel Baier, Maria Christakis, Timo P. Gros, David Groß, Stefan Gumhold, Holger Hermanns, Jörg Hoffmann, Michaela Klauck:
Lab Conditions for Research on Explainable Automated Decisions. TAILOR 2020: 83-90 - [c2]Timo P. Gros, Joschka Groß, Verena Wolf:
Real-Time Decision Making for a Car Manufacturing Process Using Deep Reinforcement Learning. WSC 2020: 3032-3044 - [i1]Timo P. Gros, Daniel Höller, Jörg Hoffmann, Verena Wolf:
Tracking the Race Between Deep Reinforcement Learning and Imitation Learning - Extended Version. CoRR abs/2008.00766 (2020)
2010 – 2019
- 2019
- [c1]Timo P. Gros, Pascal Leo Held, Pascal Lauer, Niklas O. Metzger, Kallistos Weis:
aMAZEing Programming - Providing SKILLs to Fellow Students. SKILL 2019: 59-70
Coauthor Index
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last updated on 2026-08-06 22:50 CEST by the dblp team
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