1. Adaptive Agent Team, Bauer, J., Baumli, K., Baveja, S., Behbahani, F., Bhoopchand, A., Bradley-Schmieg, N., et al. (2023). Human-timescale adaptation in an open-ended task space. arXiv. https://doi.org/10.48550/arXiv.2301.07608
2. Ahn, M., Brohan, A., Brown, N., Chebotar, Y., Cortes, O., David, B., Finn, C., et al. (2022). ‘Do as I can, not as I say: Grounding language in robotic affordances. arXiv. https://doi.org/10.48550/arXiv.2204.01691
3. Ahn, M., Dwibedi, D., Finn, C., Arenas, M. G., Gopalakrishnan, K., Hausman, K., Ichter, B., et al. (2024). AutoRT: Embodied foundation models for large scale orchestration of robotic agents. https://auto-rt.github.io/static/pdf/AutoRT.pdf
4. Armstrong, S. (2015). ‘Motivated value selection for artificial agents’. In Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence. https://www.fhi.ox.ac.uk/wp-content/uploads/2015/03/Armstrong_AAAI_2015_Motivated_Value_Selection.pdf
5. Bostrom, N. (2012). The superintelligent will: Motivation and instrumental rationality in advanced artificial agents. Minds and Machines, 22, 71. https://doi.org/10.1007/s11023-012-9281-3