Rex: Rapid exploration and exploitation for ai agents

[PDF] springer.com

A survey on large language model based autonomous agents

L Wang, C Ma, X Feng, Z Zhang, H Yang… - Frontiers of Computer …, 2024 - Springer
Autonomous agents have long been a research focus in academic and industry
communities. Previous research often focuses on training agents with limited knowledge …
被引用次数：504 相关文章 所有 4 个版本
[PDF] arxiv.org

Exploring large language model based intelligent agents: Definitions, methods, and prospects

Y Cheng, C Zhang, Z Zhang, X Meng, S Hong… - arXiv preprint arXiv …, 2024 - arxiv.org
Intelligent agents stand out as a potential path toward artificial general intelligence (AGI).
Thus, researchers have dedicated significant effort to diverse implementations for them …
被引用次数：22 相关文章 所有 2 个版本
[PDF] arxiv.org

A survey of ai-generated text forensic systems: Detection, attribution, and characterization

T Kumarage, G Agrawal, P Sheth, R Moraffah… - arXiv preprint arXiv …, 2024 - arxiv.org
We have witnessed lately a rapid proliferation of advanced Large Language Models (LLMs)
capable of generating high-quality text. While these LLMs have revolutionized text …
被引用次数：5 相关文章 所有 4 个版本
[PDF] arxiv.org

Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration

Y Zhang, S Yang, C Bai, F Wu, X Li, X Li… - arXiv preprint arXiv …, 2024 - arxiv.org
Grounding the reasoning ability of large language models (LLMs) for embodied tasks is
challenging due to the complexity of the physical world. Especially, LLM planning for multi …
被引用次数：6 相关文章 所有 2 个版本
[PDF] arxiv.org

LLM-based Multi-Agent Reinforcement Learning: Current and Future Directions

C Sun, S Huang, D Pompili - arXiv preprint arXiv:2405.11106, 2024 - arxiv.org
In recent years, Large Language Models (LLMs) have shown great abilities in various tasks,
including question answering, arithmetic problem solving, and poem writing, among others …
被引用次数：6 相关文章 所有 2 个版本
[PDF] arxiv.org

Hierarchical in-Context Reinforcement Learning with Hindsight Modular Reflections for Planning

C Sun, S Huang, D Pompili - arXiv preprint arXiv:2408.06520, 2024 - arxiv.org
Large Language Models (LLMs) have demonstrated remarkable abilities in various
language tasks, making them promising candidates for decision-making in robotics. Inspired …
相关文章