ReAct: Synergizing Reasoning and Acting in Language Models, Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Iulia Turc, Karthik R. Narasimhan, 2023International Conference on Learning Representations (ICLR)DOI: 10.48550/arXiv.2210.03629 - Introduces the ReAct framework, which combines reasoning and acting for language models, providing a foundational architecture for iterative agentic workflows.
Generative Agents: Interactive Simulacra of Human Behavior, Joon Sung Park, Joseph C. O'Brien, Carrie J. Cai, Meredith Ringel Morris, Percy Liang, Michael S. Bernstein, 2023Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology (UIST '23) (ACM)DOI: 10.1145/3586183.3606763 - Describes an architecture for simulating human-like behavior in agents, illustrating how memory and planning are important for long-running, complex agentic systems.
A Survey on Large Language Model based Agents, Lei Wang, Chen Ma, Xueyang Feng, Zhiyuan Liu, Maosong Sun, Lei Hou, 2023DOI: 10.48550/arXiv.2309.07864 - Provides a comprehensive overview of research on large language model-based agents, covering their architectures, capabilities, memory, and tool use.