Towards Autonomous Agents: Adaptive-planning, Reasoning, and Acting in Language Models
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866910684642541568 |
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| author | Dutta, Abhishek Hsiao, Yen-Che |
| author_facet | Dutta, Abhishek Hsiao, Yen-Che |
| contents | We propose a novel in-context learning algorithm for building autonomous decision-making language agents. The language agent continuously attempts to solve the same task by self-correcting each time the task fails. Our selected language agent demonstrates the ability to solve tasks in a text-based game environment. Our results show that the gemma-2-9b-it language model, using our proposed method, can successfully complete two of six tasks that failed in the first attempt. This highlights the effectiveness of our approach in enhancing the problem-solving capabilities of a single language model through self-correction, paving the way for more advanced autonomous agents. The code is publicly available at https://github.com/YenCheHsiao/AutonomousLLMAgentwithAdaptingPlanning. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_06458 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Towards Autonomous Agents: Adaptive-planning, Reasoning, and Acting in Language Models Dutta, Abhishek Hsiao, Yen-Che Artificial Intelligence Computation and Language We propose a novel in-context learning algorithm for building autonomous decision-making language agents. The language agent continuously attempts to solve the same task by self-correcting each time the task fails. Our selected language agent demonstrates the ability to solve tasks in a text-based game environment. Our results show that the gemma-2-9b-it language model, using our proposed method, can successfully complete two of six tasks that failed in the first attempt. This highlights the effectiveness of our approach in enhancing the problem-solving capabilities of a single language model through self-correction, paving the way for more advanced autonomous agents. The code is publicly available at https://github.com/YenCheHsiao/AutonomousLLMAgentwithAdaptingPlanning. |
| title | Towards Autonomous Agents: Adaptive-planning, Reasoning, and Acting in Language Models |
| topic | Artificial Intelligence Computation and Language |
| url | https://arxiv.org/abs/2408.06458 |