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Tracking the Race Between Deep Reinforcement Learning and Imitation Learning.

T. Gros, D. Höller, J. Hoffmann, and V. Wolf. QEST, volume 12289 of Lecture Notes in Computer Science, page 11-17. Springer, (2020)

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Diana Timova

Nuala Patricia Timoney

Wladimir Timofiewitsch

Hassan Timouyas

Ekatarina Timoshenko

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XAI Requirements in Smart Production Processes: A Case Study.D. Baum, K. Baum, T. Gros, and V. Wolf. xAI (1), volume 1901 of Communications in Computer and Information Science, page 3-24. Springer, (2023)aMAZEing Programming - Providing SKILLs to Fellow Students.T. Gros, P. Held, P. Lauer, N. Metzger, and K. Weis. SKILL, volume S-15 of LNI, page 59-70. Gesellschaft für Informatik e.V., (2019)Analyzing neural network behavior through deep statistical model checking.T. Gros, H. Hermanns, J. Hoffmann, M. Klauck, and M. Steinmetz. Int. J. Softw. Tools Technol. Transf., 25 (3): 407-426 (June 2023)DSMC Evaluation Stages: Fostering Robust and Safe Behavior in Deep Reinforcement Learning - Extended Version.T. Gros, J. Groß, D. Höller, J. Hoffmann, M. Klauck, H. Meerkamp, N. Müller, L. Schaller, and V. Wolf. ACM Trans. Model. Comput. Simul., 33 (4): 17:1-17:28 (October 2023)TraceVis: Towards Visualization for Deep Statistical Model Checking.T. Gros, D. Groß, S. Gumhold, J. Hoffmann, M. Klauck, and M. Steinmetz. ISoLA (4), volume 12479 of Lecture Notes in Computer Science, page 27-46. Springer, (2020)Glyph-Based Visual Analysis of Q-Leaning Based Action Policy Ensembles on Racetrack.D. Groß, M. Klauck, T. Gros, M. Steinmetz, J. Hoffmann, and S. Gumhold. IV, page 1-10. IEEE, (2022)Metamorphic relations via relaxations: an approach to obtain oracles for action-policy testing.H. Eniser, T. Gros, V. Wüstholz, J. Hoffmann, and M. Christakis. ISSTA, page 52-63. ACM, (2022)Real-Time Decision Making for a Car Manufacturing Process Using Deep Reinforcement Learning.T. Gros, J. Groß, and V. Wolf. WSC, page 3032-3044. IEEE, (2020)Debugging a Policy: Automatic Action-Policy Testing in AI Planning.M. Steinmetz, D. Fiser, H. Eniser, P. Ferber, T. Gros, P. Heim, D. Höller, X. Schuler, V. Wüstholz, M. Christakis and 1 other author(s). ICAPS, page 353-361. AAAI Press, (2022)Tracking the Race Between Deep Reinforcement Learning and Imitation Learning - Extended Version.T. Gros, D. Höller, J. Hoffmann, and V. Wolf. CoRR, (2020)

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Disambiguation of "Gros, Timo P."

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Tracking the Race Between Deep Reinforcement Learning and Imitation Learning.

Please choose a person to relate this publication to

Diana Timova

Nuala Patricia Timoney

Wladimir Timofiewitsch

Hassan Timouyas

Ekatarina Timoshenko

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Gros, Timo P."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Tracking the Race Between Deep Reinforcement Learning and Imitation Learning.

Please choose a person to relate this publication to

Diana Timova

Nuala Patricia Timoney

Wladimir Timofiewitsch

Hassan Timouyas

Ekatarina Timoshenko

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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Chicago
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Tracking the Race Between Deep Reinforcement Learning and Imitation Learning.