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Autonomous interaction with the computer has been a longstanding challenge with great potential, and the recent proliferation of large language models (LLMs) has markedly accelerated progress in building digital agents.
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Autogpt: build & use ai agents
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Gymnasium
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Llm-powered autonomous agents
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Wenyi Hong, Weihan Wang, Qingsong Lv, Jiazheng Xu, Wenmeng Yu, Junhui Ji, Yan Wang, Zihan Wang, Yuxiao Dong, Ming Ding, et al · 2023
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Ai alignment: A comprehensive survey
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Hongxin Li, Jingran Su, Yuntao Chen, Qing Li, and Zhaoxiang Zhang · 2023
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Taskweaver: A code-first agent framework
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Toolformer: Language models can teach themselves to use tools
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom · 2023
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Hugginggpt: Solving ai tasks with chatgpt and its friends in huggingface
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Openagents: An open platform for language agents in the wild
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Rewoo: Decoupling reasoning from observations for efficient augmented language models
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Tree of thoughts: Deliberate problem solving with large language models, may 2023
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Data-copilot: Bridging billions of data and humans with autonomous workflow
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Webarena: A realistic web environment for building autonomous agents
Shuyan Zhou, Frank F Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Yonatan Bisk, Daniel Fried, Uri Alon, et al · 2023
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Seeclick: Harnessing gui grounding for advanced visual gui agents
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Agentboard: An analytical evaluation board of multi-turn llm agents
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