[334] Jin, C., W. Tan, J. Yang, et al. Alphablock: Embodied finetuning for vision-language reasoning

in robot manipulation. CoRR, abs/2305.18898, 2023.

[335] Shah, D., B. Osinski, B. Ichter, et al. Lm-nav: Robotic navigation with large pre-trained
models of language, vision, and action. In K. Liu, D. Kulic, J. Ichnowski, eds., Conference
on Robot Learning, CoRL 2022, 14-18 December 2022, Auckland, New Zealand, vol. 205 of
Proceedings of Machine Learning Research, pages 492–504. PMLR, 2022.

[336] Zhou, G., Y. Hong, Q. Wu. Navgpt: Explicit reasoning in vision-and-language navigation with

large language models. CoRR, abs/2305.16986, 2023.

[337] Fan, L., G. Wang, Y. Jiang, et al. Minedojo: Building open-ended embodied agents with

internet-scale knowledge. In NeurIPS. 2022.

[338] Kanitscheider, I., J. Huizinga, D. Farhi, et al. Multi-task curriculum learning in a complex,

visual, hard-exploration domain: Minecraft. CoRR, abs/2106.14876, 2021.
TheRiseandPotentialofLargeLanguageModel BasedAgents