@inproceedings{yao2023react,
  title = {{ReAct}: Synergizing Reasoning and Acting in Language Models},
  author = {Yao, Shunyu and Zhao, Jeffrey and Yu, Dian and Du, Nan and Shafran, Izhak and Narasimhan, Karthik and Cao, Yuan},
  booktitle = {International Conference on Learning Representations},
  year = {2023},
  url = {https://arxiv.org/abs/2210.03629}
}
@article{shinn2023reflexion,
  title = {Reflexion: Language Agents with Verbal Reinforcement Learning},
  author = {Shinn, Noah and Cassano, Federico and Berman, Edward and Gopinath, Ashwin and Narasimhan, Karthik and Yao, Shunyu},
  journal = {arXiv preprint arXiv:2303.11366},
  year = {2023},
  url = {https://arxiv.org/abs/2303.11366v4}
}
@article{zhao2024expel,
  title = {{ExpeL}: {LLM} Agents Are Experiential Learners},
  author = {Zhao, Andrew and Huang, Daniel and Xu, Quentin and Lin, Matthieu and Liu, Yong-Jin and Huang, Gao},
  journal = {Proceedings of the AAAI Conference on Artificial Intelligence},
  volume = {38}, number = {17}, pages = {19632--19642},
  year = {2024}, doi = {10.1609/aaai.v38i17.29936},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29936}
}
@article{wang2024awm,
  title = {Agent Workflow Memory},
  author = {Wang, Zora Zhiruo and Mao, Jiayuan and Fried, Daniel and Neubig, Graham},
  journal = {arXiv preprint arXiv:2409.07429},
  year = {2024}, url = {https://arxiv.org/abs/2409.07429}
}
@inproceedings{xiong2026memory,
  title = {How Memory Management Impacts {LLM} Agents: An Empirical Study of Experience-Following Behavior},
  author = {Xiong, Zidi and Lin, Yuping and Xie, Wenya and He, Pengfei and Liu, Zirui and Tang, Jiliang and Lakkaraju, Himabindu and Xiang, Zhen},
  booktitle = {Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  pages = {623--645}, year = {2026},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/2026.acl-long.27},
  url = {https://aclanthology.org/2026.acl-long.27/}
}
@article{rathi2026dolphin,
  title = {{DolphinBench}: Mapping the Pareto Frontier of Agent Memory},
  author = {Rathi, Soumil and Yadav, Deshraj and Singh, Taranjeet},
  journal = {arXiv preprint arXiv:2609.24971},
  year = {2026}, url = {https://arxiv.org/abs/2609.24971v2}
}
@article{jiang2026jev,
  title = {{Jev-Mem}: System-One-Controlled Agentic Memory for Efficient {AI} Agents},
  author = {Jiang, Dongming and Li, Yi and Li, Bingzhe},
  journal = {arXiv preprint arXiv:2609.23986},
  year = {2026}, url = {https://arxiv.org/abs/2609.23986v1}
}
@article{wu2026environment,
  title = {Breaking the Environment Wall: Evolving {LLM} Agent Environments for Recursive Self-Improvement},
  author = {Wu, Yukai and Yang, Yuanjing and Zhou, Le and Han, Shaokun and Wang, Haoyu and Tang, Zirui and Zhu, Xuzhou and Zheng, Weihuang and Pan, Maxm and Zhou, Xuanhe and Wu, Fan},
  journal = {arXiv preprint arXiv:2609.29773},
  year = {2026}, url = {https://arxiv.org/abs/2609.29773v1}
}
@article{yao2024tau,
  title = {{$\tau$}-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains},
  author = {Yao, Shunyu and Shinn, Noah and Razavi, Pedram and Narasimhan, Karthik},
  journal = {arXiv preprint arXiv:2406.12045},
  year = {2024}, url = {https://arxiv.org/abs/2406.12045}
}