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MoGym: Using Formal Models for Training and Verifying Decision-making Agents., , , , , and . CAV (2), volume 13372 of Lecture Notes in Computer Science, page 430-443. Springer, (2022)aMAZEing Programming - Providing SKILLs to Fellow Students., , , , and . SKILL, volume S-15 of LNI, page 59-70. Gesellschaft für Informatik e.V., (2019)Artifact for the Tool Paper: MoGym: Using Formal Models for Training and Verifying Decision-making Agents., , , , , and . (May 2022)Artifact of "MoGym: Using Formal Models for Training and Verifying Decision Agents"., , , and . (November 2021)XAI Requirements in Smart Production Processes: A Case Study., , , and . xAI (1), volume 1901 of Communications in Computer and Information Science, page 3-24. Springer, (2023)Tracking the Race Between Deep Reinforcement Learning and Imitation Learning., , , and . QEST, volume 12289 of Lecture Notes in Computer Science, page 11-17. Springer, (2020)Deep Statistical Model Checking., , , , and . FORTE, volume 12136 of Lecture Notes in Computer Science, page 96-114. Springer, (2020)DSMC Evaluation Stages: Fostering Robust and Safe Behavior in Deep Reinforcement Learning., , , , , and . QEST, volume 12846 of Lecture Notes in Computer Science, page 197-216. Springer, (2021)Lab Conditions for Research on Explainable Automated Decisions., , , , , , , and . TAILOR, volume 12641 of Lecture Notes in Computer Science, page 83-90. Springer, (2020)Analyzing neural network behavior through deep statistical model checking., , , , and . Int. J. Softw. Tools Technol. Transf., 25 (3): 407-426 (June 2023)