ment learning. arXiv preprint arXiv:1511.06342, 2015.

[79] Zhu, Z., K. Lin, J. Zhou. Transfer learning in deep reinforcement learning: A survey. CoRR,

abs/2009.07888, 2020.

[80] Duan, Y., J. Schulman, X. Chen, et al. Rl$ˆ2$: Fast reinforcement learning via slow reinforce-

ment learning. CoRR, abs/1611.02779, 2016.

[81] Finn, C., P. Abbeel, S. Levine. Model-agnostic meta-learning for fast adaptation of deep
networks. In D. Precup, Y. W. Teh, eds., Proceedings of the 34th International Conference
on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017, vol. 70 of
Proceedings of Machine Learning Research, pages 1126–1135. PMLR, 2017.

52
TheRiseandPotentialofLargeLanguageModel BasedAgents