Deciding Which Skill to Learn When: Temporal-Difference Competence-Based Intrinsic Motivation (TD-CB-IM)

Author:

Baldassarre Gianluca,Mirolli Marco

Publisher

Springer Berlin Heidelberg

Reference57 articles.

1. Baldassarre, G.: A modular neural-network model of the basal ganglia’s role in learning and selecting motor behaviours. In: Altmann, E.M., Cleermans, A., Schunn, C.D, Gray, W.D. (eds.) Proceedings of the Fourth International Conference on Cognitive Modeling (ICCM2001), pp. 37–42. Fairfax, Virgina, USA, 26–29 July 2001. Lawrence Erlbaum, Mahwah (2001)

2. Baldassarre, G.: A modular neural-network model of the basal ganglia’s role in learning and selecting motor behaviours. J. Cogn. Syst. Res. 3(2), 5–13. Special Issue Dynamic and Recurrent Neural Networks (2002a)

3. Baldassarre, G.: Planning with neural networks and reinforcement learning. Ph.D. Thesis, Computer Science Department, University of Essex, Colchester, UK (2002b)

4. Baldassarre, G.: What are intrinsic motivations? a biological perspective. In: Cangelosi, A., Triesch, J., Fasel, I., Rohlfing, K., Nori, F., Oudeyer, P.-Y., Schlesinger, M, Nagai, Y. (eds.) Proceedings of the International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob-2011), pp. E1–E8. Frankfurt, Germany, 24–27 August, 2011. IEEE, Piscataway (2011)

5. Baldassarre, G., Mannella, F., Fiore, V.G., Redgrave, P., Gurney, K., Mirolli, M.: Intrinsically motivated action-outcome learning and goal-based action recall: A system-level bio-constrained computational model. Neural Netw. (2012, in press)

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1. The “Mechatronic Board”: A Tool to Study Intrinsic Motivations in Humans, Monkeys, and Humanoid Robots;Intrinsically Motivated Learning in Natural and Artificial Systems;2012-11-10

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