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Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning.

, , and . Artif. Intell., 112 (1-2): 181-211 (1999)

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Bootstrapped Meta-Learning, , , , , and . (2021)cite arxiv:2109.04504Comment: 31 pages, 19 figures, 7 tables.Between MDPs and Semi-MDPs: learning, planning, and representing knowledge at multiple temporal scales, , and . 98-74. University of Massachusetts, Amherst, MA 01003, (1998)Near-optimal reinforcement learning in polynomial time, and . Proc. 15th International Conf. on Machine Learning, page 260--268. Morgan Kaufmann, San Francisco, CA, (1998)Multi-task seizure detection: addressing intra-patient variation in seizure morphologies., , , , and . Mach. Learn., 102 (3): 309-321 (2016)Blockchain and Deep Learning for Secure Communication in Digital Twin Empowered Industrial IoT Network., , , , , and . IEEE Trans. Netw. Sci. Eng., 10 (5): 2802-2813 (September 2023)Building a Motivational Interviewing Dataset., , , , and . CLPsych@HLT-NAACL, page 42-51. The Association for Computational Linguistics, (2016)Empirical Evaluation of a Reinforcement Learning Spoken Dialogue System., , , and . AAAI/IAAI, page 645-651. AAAI Press / The MIT Press, (2000)Cobot in LambdaMOO: A Social Statistics Agent., , , , and . AAAI/IAAI, page 36-41. AAAI Press / The MIT Press, (2000)Querying to Find a Safe Policy under Uncertain Safety Constraints in Markov Decision Processes., , and . AAAI, page 2552-2559. AAAI Press, (2020)Using Homomorphisms to Transfer Options across Continuous Reinforcement Learning Domains., and . AAAI, page 494-499. AAAI Press, (2006)