A hierarchical representation of behaviour supporting open ended development and progressive learning for artificial agents

Author:

Suro FrançoisORCID,Ferber Jacques,Stratulat Tiberiu,Michel Fabien

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference42 articles.

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2. Barto, A. G., Singh, S., & Chentanez, N. (2004). Intrinsically motivated learning of hierarchical collections of skills. In Proceedings of the 3rd International Conference on Development and Learning (pp. 112–19).

3. Bengio, Y., Louradour, J., Collobert, R., & Weston, J. (2009). Curriculum learning. In Proceedings of the 26th Annual International Conference on Machine Learning (pp. 41–48). ACM.

4. Blaes, S., Pogančić, M. V., Zhu, J., & Martius, G. (2019). Control what you can: Intrinsically motivated task-planning agent. In Advances in Neural Information Processing Systems (pp. 12520–12531).

5. Braitenberg, V. (1986). Vehicles: Experiments in synthetic psychology. Cambridge: MIT press.

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