Llm Agent

[TOC] Title: RePlan: Robotic Replanning with Perception and Language Models Author: Marta Skreta et. al. Publish Year: 8 Jan 2024 Review Date: Thu, Jan 25, 2024 url: arXiv:2401.04157v1 Summary of paper Motivation However, the challenge remains that even with syntac- tically correct plans, robots can still fail to achieve their intended goals. This failure can be attributed to imperfect plans proposed by LLMs or to unforeseeable environmental circumstances that hinder the execution of planned subtasks due to erroneous assumptions about the state of objects. Contribution Robotic Replanning with Perception and Language Models that enables real-time replanning capabilities for long-horizon tasks. Some key terms Address the challenge of multi-stage long-horizon tasks ...

[TOC] Title: Zhiting Hu Language Agent and World Models 2023 Author: Publish Year: Review Date: Mon, Jan 22, 2024 url: arXiv:2312.05230v1 Summary of paper Motivation LAW proposes that world and agent models, which encompass beliefs about the world, anticipation of consequences, goals/rewards, and strategic planning, provide a better abstraction of reasoning. In this framework, language models play a crucial role as a backend Some key terms Limitation of Language ...