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Finite-Memory Near-Optimal Learning for Markov Decision Processes with Long-Run Average Reward.

, , , and . UAI, volume 124 of Proceedings of Machine Learning Research, page 1149-1158. AUAI Press, (2020)

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Conditional Value-at-Risk for Reachability and Mean Payoff in Markov Decision Processes., and . LICS, page 609-618. ACM, (2018)On time-average limits in deterministic and stochastic petri nets., , , , and . ICPE, page 421-422. ACM, (2013)Faster Statistical Model Checking for Unbounded Temporal Properties., , , and . TACAS, volume 9636 of Lecture Notes in Computer Science, page 112-129. Springer, (2016)Owl: A Library for ω-Words, Automata, and LTL., , and . ATVA, volume 11138 of Lecture Notes in Computer Science, page 543-550. Springer, (2018)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)Semi-quantitative Abstraction and Analysis of Chemical Reaction Networks., and . CAV (1), volume 11561 of Lecture Notes in Computer Science, page 475-496. Springer, (2019)Modal Process Rewrite Systems., and . ICTAC, volume 7521 of Lecture Notes in Computer Science, page 120-135. Springer, (2012)On Refinements of Boolean and Parametric Modal Transition Systems., and . ICTAC, volume 8049 of Lecture Notes in Computer Science, page 213-230. Springer, (2013)Guessing Winning Policies in LTL Synthesis by Semantic Learning., , , and . CAV (1), volume 13964 of Lecture Notes in Computer Science, page 390-414. Springer, (2023)Unifying Two Views on Multiple Mean-Payoff Objectives in Markov Decision Processes., , and . LICS, page 244-256. IEEE Computer Society, (2015)