ReflAct: World-Grounded Decision Making in LLM Agents via Goal-State Reflection

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Agents: An open-source framework for autonomous language agents

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Wangchunshu Zhou, Yuchen Eleanor Jiang, Long Li, Jialong Wu, Tiannan Wang, Shi Qiu, Jintian Zhang, Jing Chen, Ruipu Wu, Shuai Wang, and 1 others. 2023 · 1999

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Control of memory, active perception, and action in minecraft

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World models

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David Ha and Jürgen Schmidhuber. 2018 · 2018

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Babyai: First steps towards grounded language learning with a human in the loop

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Interactive fiction games: A colossal adventure

Matthew Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, and Xingdi Yuan. 2020 · 2020

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Mastering atari, go, chess and shogi by planning with a learned model

Julian Schrittwieser, Ioannis Antonoglou, Thomas Hubert, Karen Simonyan, Laurent Sifre, Simon Schmitt, Arthur Guez, Edward Lockhart, Demis Hassabis, Thore Graepel, and 1 others. 2020 · 2020

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{ALFW}orld: Aligning text and embodied environments for interactive learning

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Scienceworld: Is your agent smarter than a 5th grader?

Ruoyao Wang, Peter Jansen, Marc-Alexandre Côté, and Prithviraj Ammanabrolu. 2022 · 2022

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Chain-of-thought prompting elicits reasoning in large language models

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Reasoning with language model is planning with world model

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Shibo Hao, Yi Gu, Haodi Ma, Joshua Jiahua Hong, Zhen Wang, Daisy Zhe Wang, and Zhiting Hu. 2023 · 2023

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Code as policies: Language model programs for embodied control

Jacky Liang, Wenlong Huang, Fei Xia, Peng Xu, Karol Hausman, Brian Ichter, Pete Florence, and Andy Zeng. 2023 · 2023

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Swiftsage: A generative agent with fast and slow thinking for complex interactive tasks

Bill Yuchen Lin, Yicheng Fu, Karina Yang, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Prithviraj Ammanabrolu, Yejin Choi, and Xiang Ren. 2023 · 2023

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Reason for future, act for now: A principled framework for autonomous llm agents with provable sample efficiency

Original

Reflexion: Language agents with verbal reinforcement learning

Noah Shinn, Federico Cassano, Ashwin Gopinath, Karthik Narasimhan, and Shunyu Yao. 2024 · 2024

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Trial and error: Exploration-based trajectory optimization of llm agents

Yifan Song, Da Yin, Xiang Yue, Jie Huang, Sujian Li, and Bill Yuchen Lin. 2024 · 2024

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On the brittle foundations of react prompting for agentic large language models

Original

Mudit Verma, Siddhant Bhambri, and Subbarao Kambhampati. 2024 · 2024

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Stateflow: Enhancing llm task-solving through state-driven workflows

Yiran Wu, Tianwei Yue, Shaokun Zhang, Chi Wang, and Qingyun Wu. 2024 · 2024

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Gold-medalist performance in solving olympiad geometry with alphageometry2

Original

Yuri Chervonyi, Trieu H Trinh, Miroslav Olšák, Xiaomeng Yang, Hoang Nguyen, Marcelo Menegali, Junehyuk Jung, Vikas Verma, Quoc V Le, and Thang Luong. 2025 · 2025