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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2510.01076 |
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| _version_ | 1866918152526364672 |
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| author | Wang, Haonan Sun, Junfeng Zhao, Mingjia Liu, Wei |
| author_facet | Wang, Haonan Sun, Junfeng Zhao, Mingjia Liu, Wei |
| contents | This article addresses embodied intelligence and reinforcement learning integration in the field of text processing, aiming to enhance text handling with more intelligence on the basis of embodied intelligence's perception and action superiority and reinforcement learning's decision optimization capability. Through detailed theoretical explanation and experimental exploration, a novel integration model is introduced. This model has been demonstrated to be very effective in a wide range oftext processing tasks, validating its applicative potential |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_01076 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Research on the Integration of Embodied Intelligence and Reinforcement Learning in Textual Domains Wang, Haonan Sun, Junfeng Zhao, Mingjia Liu, Wei Computation and Language This article addresses embodied intelligence and reinforcement learning integration in the field of text processing, aiming to enhance text handling with more intelligence on the basis of embodied intelligence's perception and action superiority and reinforcement learning's decision optimization capability. Through detailed theoretical explanation and experimental exploration, a novel integration model is introduced. This model has been demonstrated to be very effective in a wide range oftext processing tasks, validating its applicative potential |
| title | Research on the Integration of Embodied Intelligence and Reinforcement Learning in Textual Domains |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2510.01076 |