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Learning and generalization of complex tasks from unstructured demonstrations.

, , , and . IROS, page 5239-5246. IEEE, (2012)

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Task Decomposition Through Competition in a Modular Connectionist Architecture: The What and Where in Vision Tasks, , and . 90-27. Department of Computer and Information Science, University of Massachusetts, Amherst, (1990)Reinforcement learning : an introduction, and . Library of Congress Cataloging-in-Publication Data, Second edition, (2020)Where Do Rewards Come From?, , and . (2015)Adaptive Real-Time Dynamic Programming.. Encyclopedia of Machine Learning, Springer, (2010)Evolution of reward functions for reinforcement learning., , and . GECCO (Companion), page 177-178. ACM, (2011)Task Decompostiion Through Competition in a Modular Connectionist Architecture: The What and Where Vision Tasks., , and . Machine Learning: From Theory to Applications, volume 661 of Lecture Notes in Computer Science, page 175-202. Springer, (1993)Learning to act using real-time dynamic programming, , and . Artificial Intelligence, 72 (1-2): 81--138 (1995)Adaptive Control of Duty Cycling in Energy-Harvesting Wireless Sensor Networks., , and . SECON, page 21-30. IEEE, (2007)An intrinsic reward mechanism for efficient exploration., and . ICML, volume 148 of ACM International Conference Proceeding Series, page 833-840. ACM, (2006)Active Learning of Parameterized Skills., , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 1737-1745. JMLR.org, (2014)