Using relative novelty to identify useful temporal abstractions in reinforcement learning - researchr publication

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Özgür Simsek, Andrew G. Barto. Using relative novelty to identify useful temporal abstractions in reinforcement learning. In Carla E. Brodley, editor, Machine Learning, Proceedings of the Twenty-first International Conference (ICML 2004), Banff, Alberta, Canada, July 4-8, 2004. Volume 69 of ACM International Conference Proceeding Series, ACM, 2004. [doi]

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