Intrinsic Motivation and Reinforcement Learning-Reference-Cited by-同舟云学术

Intrinsic Motivation and Reinforcement Learning

Published:2012-11-10 Issue: Volume: Page:17-47
ISSN:
Container-title:Intrinsically Motivated Learning in Natural and Artificial Systems
language:
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Author:

Barto Andrew G.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-32375-1_2

Reference105 articles.

1. Ackley, D.H., Littman, M.: Interactions between learning and evolution. In: Langton, C., Taylor, C., Farmer, C., Rasmussen, S. (eds.) Artificial Life II (Proceedings Volume X in the Santa Fe Institute Studies in the Sciences of Complexity, pp. 487–509. Addison-Wesley, Reading (1991)

2. Andry, P., Gaussier, P., Nadel, J., Hirsbrunner, B.: Learning invariant sensorimotor behaviors: A developmental approach to imitation mechanisms. Adap. Behav. 12, 117–140 (2004)

3. Arkes, H.R., Garske, J.P.: Psychological Theories of Motivation. Brooks/Cole, Monterey (1982)

4. Baranes, A., Oudeyer, P.-Y.: Intrinsically motivated goal exploration for active motor learning in robots: A case study. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010), Taipei, Taiwan 2010

5. Barto, A.G., Mahadevan, S.: Recent advances in hierarchical reinforcement learning. Discr. Event Dynam. Syst. Theory Appl. 13, 341–379 (2003)

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