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A General Framework for Manifold Alignment., and . AAAI Fall Symposium: Manifold Learning and Its Applications, volume FS-09-04 of AAAI Technical Report, AAAI, (2009)LEAP: A Learning Apprentice for VLSI Design., , and . IJCAI, page 573-580. Morgan Kaufmann, (1985)Average Reward Reinforcement Learning: Foundations, Algorithms, and Empirical Results.. Mach. Learn., 22 (1-3): 159-195 (1996)Approximate Planning with Hierarchical Partially Observable Markov Decision Process Models for Robot Navigation., and . ICRA, page 1347-1352. IEEE, (2002)Repairing Disengagement With Non-Invasive Interventions., , , , , , , , and . AIED, volume 158 of Frontiers in Artificial Intelligence and Applications, page 195-202. IOS Press, (2007)Automatic Programming of Behavior-Based Robots Using Reinforcement Learning., and . Artif. Intell., 55 (2): 311-365 (1992)Representation Policy Iteration. CoRR, (2012)Deep Reinforcement Learning With Macro-Actions., , , and . CoRR, (2016)Constructing basis functions from directed graphs for value function approximation., and . ICML, volume 227 of ACM International Conference Proceeding Series, page 385-392. ACM, (2007)Learning state-action basis functions for hierarchical MDPs., and . ICML, volume 227 of ACM International Conference Proceeding Series, page 705-712. ACM, (2007)