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A new heuristic and an exact approach for a production planning problem.

, , , , , , and . Central Eur. J. Oper. Res., 29 (3): 1079-1113 (2021)

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Exploiting Similarity Information in Reinforcement Learning - Similarity Models for Multi-Armed Bandits and MDPs.. ICAART (1), page 203-210. INSTICC Press, (2010)Regret Bounds for Reinforcement Learning via Markov Chain Concentration.. CoRR, (2018)Variational Regret Bounds for Reinforcement Learning., , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 81-90. AUAI Press, (2019)Regret Bounds for Learning State Representations in Reinforcement Learning., , , , and . NeurIPS, page 12717-12727. (2019)Improved Rates for the Stochastic Continuum-Armed Bandit Problem., , and . COLT, volume 4539 of Lecture Notes in Computer Science, page 454-468. Springer, (2007)Pseudometrics for State Aggregation in Average Reward Markov Decision Processes.. ALT, volume 4754 of Lecture Notes in Computer Science, page 373-387. Springer, (2007)Adaptive aggregation for reinforcement learning in average reward Markov decision processes.. Ann. Oper. Res., 208 (1): 321-336 (2013)Regret bounds for restless Markov bandits., , , and . Theor. Comput. Sci., (2014)A new PAC bound for intersection-closed concept classes., and . Mach. Learn., 66 (2-3): 151-163 (2007)Online Regret Bounds for Markov Decision Processes with Deterministic Transitions.. ALT, volume 5254 of Lecture Notes in Computer Science, page 123-137. Springer, (2008)