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Probabilistic Constraint Programming, , , , , , и . Working Notes of the 2014 NIPS Workshop on Probabilistic Programming, (2014)A formal framework for robot learning and control under model uncertainty., , и . ICRA, стр. 2104-2110. IEEE, (2007)Hierarchical Control of Markov Decision Processes, , , , и . Proceedings of the Tenth Yale Workshop on Adaptive and Learning Systems, стр. 186--191. (1998)Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control., , , и . CoRR, (2017)OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning., , , , , и . CoRR, (2017)Investigating Recurrence and Eligibility Traces in Deep Q-Networks., и . CoRR, (2017)Methods for computing state similarity in Markov Decision Processes., , , и . CoRR, (2012)Constructing Temporal Abstractions Autonomously in Reinforcement Learning, и . AI Magazine, 39 (1): 39--50 (марта 2018)Nonlinear Weighted Finite Automata., , и . AISTATS, том 84 из Proceedings of Machine Learning Research, стр. 679-688. PMLR, (2018)Smarter Sampling in Model-Based Bayesian Reinforcement Learning., и . ECML/PKDD (1), том 6321 из Lecture Notes in Computer Science, стр. 200-214. Springer, (2010)