1. Billard, A., Calinon, S., Dillmann, R., Schaal, S.: Robot programming by demonstration. Springer handbook of robotics, 1371–1394 (2008)
2. Chhatpar, S.R., Branicky, M.S.: Search strategies for peg-in-hole assemblies with position uncertainty. Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180), 20011465–1470. (2001)
3. Fujimoto, S., van Hoof, H., Meger, D.: Addressing function approximation error in actor-critic methods. Paper presented at the Proceedings of the 35th International Conference on Machine Learning (2018)
4. Gao, X., Ling, J., Xiao, X., Li, M.: Learning force-relevant skills from human demonstration. Complexity 2019, 1–11 (2019). https://doi.org/10.1155/2019/5262859
5. Haarnoja, T., Tang, H., Abbeel, P., Levine, S.: Reinforcement learning with deep energy-based policiesProceedings of the 34th International Conference on Machine Learning Volume 70, Sydney, NSW, Australia, 2017. JMLR.org, p 1352–1361. (2017)