Frameworks and Reviews

  • Rayyes R. (2023). Intrinsic Motivation for Real Robot Applications, Frontiers in Robotics and AI, vol 10, doi 10.3389/frobt.2023.1102438. Link.
  • Baldassarre G. (2022). Intrinsic Motivations for Open-Ended Learning. In Cangelosi, A. & Asada, M. (Eds.), chapter 13, Cognitive Robotics, pages 251-269. Cambridge, MA: The MIT Press.
  • Colas C., Karch T., Sigaud O., Oudeyer P. Y. (2022). Autotelic agents with intrinsically motivated goal-conditioned reinforcement learning: a short survey. Journal of Artificial Intelligence Research, 74, 1159-1199. Link.
  • Portelas R., Colas C., Weng L., Hofmann K., Oudeyer P. Y. (2021). Automatic Curriculum Learning For Deep RL: A Short Survey. In IJCAI 2020-International Joint Conference on Artificial Intelligence. Link.
  • Oudeyer P. Y., Smith L. B. (2016). How evolution may work through curiosity‐driven developmental process. Topics in Cognitive Science, 8(2), 492-502. Link.
  • Santucci V.G., Baldassarre G., Mirolli M. (2016). GRAIL: A goal-discovering robotic architecture for intrinsically-motivated learning. IEEE Transactions on Cognitive and Developmental Systems, 8, 3, 214-231. Link.
  • Scheunemann, M., Salge, C., Polani, D. & Dautenhahn, K. (2022). Human Perception of Intrinsically Motivated Autonomy in Human-Robot Interaction. In: Adaptive Behavior. Link.
  • Salge, C., Glackin, C. & Polani, D. (2014). Empowerment: An Introduction. Guided Self-Organization: Inception. Prokopenko, M. (ed.). Springer, p. 67-111 45 p. (Emergence, Complexity and Computation). Link.
  • Barto A., Mirolli M., Baldassarre G. (2013). Novelty or surprise? Frontiers in Psychology, 4, 907, E1-15. Link.
  • da Silva, Bruno C.; Barto, A. G. (2012). TD-Δπ: A Model-Free Algorithm for Efficient Exploration. Proceedings of the 26th Conference on Artificial Intelligence (AAAI 2012). Link.
  • Baldassarre, G. (2011). What are intrinsic motivations? A biological perspective. In 2011 IEEE international conference on development and learning (ICDL) (Vol. 2, pp. 1-8). IEEE. Link.

Other Relevant Literature

  • Colas, C., Karch, T., Moulin-Frier, C. et al. Language and culture internalization for human-like autotelic AI. Nat Mach Intell 4, 1068–1076 (2022). Link.
  • Rayyes, R., Donat, H., Steil, J., & Spranger, M. (2021). Interest-Driven Exploration with Observational Learning for Developmental Robots. IEEE Trans. Cognitive and Developmental Systems. Link.
  • Rayyes, R., Donat, H., & Steil, J. (2020). Hierarchical Interest-Driven Goal Babbling for Efficient Bootstrapping of Sensorimotor Skills. In 2020 IEEE International Conference on Robotics and Automation (ICRA) (pp. 1336–1342). Paris, France. Link.
  • Rayyes, R., Donat, H., & Steil, J. (2020). Efficient Online Interest-Driven Exploration for Developmental Robots. IEEE Trans. Cognitive and Developmental Systems. Vol. 14, No. 4. pp. 1367 - 1377 Link.
  • Rayyes, R., & Steil, J. (2019). Online Associative Multi-Stage Goal Babbling toward Versatile Learning of Sensorimotor Skills. In IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL) (pp. 327–334). Oslo, Norway Link.