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Strategy Representation by Decision Trees with Linear Classifiers.

, , , , , and . QEST, volume 11785 of Lecture Notes in Computer Science, page 109-128. Springer, (2019)

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dtControl: Decision Tree Learning Algorithms for Controller Representation., , , , , and . CoRR, (2020)Statistical Model Checking: Black or White?, , , and . ISoLA (1), volume 12476 of Lecture Notes in Computer Science, page 331-349. Springer, (2020)Value Iteration for Long-Run Average Reward in Markov Decision Processes., , , , and . CAV (1), volume 10426 of Lecture Notes in Computer Science, page 201-221. Springer, (2017)dtControl 2.0: Explainable Strategy Representation via Decision Tree Learning Steered by Experts (TACAS 21 Artifact)., , , , , and . (January 2021)SOS: Safe, Optimal and Small Strategies for Hybrid Markov Decision Processes., , , , , and . QEST, volume 11785 of Lecture Notes in Computer Science, page 147-164. Springer, (2019)PAC Statistical Model Checking for Markov Decision Processes and Stochastic Games., , and . CAV (1), volume 11561 of Lecture Notes in Computer Science, page 497-519. Springer, (2019)DeepAbstract: Neural Network Abstraction for Accelerating Verification., , , and . ATVA, volume 12302 of Lecture Notes in Computer Science, page 92-107. Springer, (2020)dtControl 2.0: Explainable Strategy Representation via Decision Tree Learning Steered by Experts., , , , , and . TACAS (2), volume 12652 of Lecture Notes in Computer Science, page 326-345. Springer, (2021)Strategy Representation by Decision Trees with Linear Classifiers., , , , , and . QEST, volume 11785 of Lecture Notes in Computer Science, page 109-128. Springer, (2019)Monte Carlo Tree Search for Verifying Reachability in Markov Decision Processes., , , and . ISoLA (2), volume 11245 of Lecture Notes in Computer Science, page 322-335. Springer, (2018)