Agent-pro: Learning to evolve via policy-level reflection and optimization
Large Language Models exhibit robust problem-solving capabilities for diverse tasks.
However, most LLM-based agents are designed as specific task solvers with sophisticated …
However, most LLM-based agents are designed as specific task solvers with sophisticated …
Clickagent: Enhancing ui location capabilities of autonomous agents
J Hoscilowicz, B Maj, B Kozakiewicz… - arXiv preprint arXiv …, 2024 - arxiv.org
With the growing reliance on digital devices equipped with graphical user interfaces (GUIs),
such as computers and smartphones, the need for effective automation tools has become …
such as computers and smartphones, the need for effective automation tools has become …
RoboGolf: Mastering Real-World Minigolf with a Reflective Multi-Modality Vision-Language Model
Minigolf is an exemplary real-world game for examining embodied intelligence, requiring
challenging spatial and kinodynamic understanding to putt the ball. Additionally, reflective …
challenging spatial and kinodynamic understanding to putt the ball. Additionally, reflective …
基于大模型的具身智能系统综述
王文晟， 谭宁， 黄凯， 张雨浓， 郑伟诗， 孙富春 - 自动化学报, 2025 - aas.net.cn
得益于近期具有世界知识的大规模预训练模型的迅速发展, 基于大模型的具身智能在各类任务中
取得了良好的效果, 展现出了强大的泛化能力与在各领域内广阔的应用前景. 鉴于此 …
取得了良好的效果, 展现出了强大的泛化能力与在各领域内广阔的应用前景. 鉴于此 …
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents
This paper presents OmniJARVIS, a novel Vision-Language-Action (VLA) model for open-
world instruction-following agents in Minecraft. Compared to prior works that either emit …
world instruction-following agents in Minecraft. Compared to prior works that either emit …
Autonomous Mental Development at the Individual and Collective Levels: Concept and Challenges
M Lippi, S Mariani, M Martinelli, F Zambonelli - IEEE Access, 2024 - ieeexplore.ieee.org
The increasing complexity and unpredictability of many ICT scenarios let us envision that
future systems will have to dynamically learn how to act and adapt to face evolving situations …
future systems will have to dynamically learn how to act and adapt to face evolving situations …
A taxonomy of architecture options for foundation model-based agents: Analysis and decision model
The rapid advancement of AI technology has led to widespread applications of agent
systems across various domains. However, the need for detailed architecture design poses …
systems across various domains. However, the need for detailed architecture design poses …
AI to publish knowledge: a tectonic shift
T Lemberger - EMBO reports, 2024 - embopress.org
The rise of generative AI will transform scientific publishing but it also poses risks. While AI
enables the dissemination of knowledge in computable form, preserving transparency and …
enables the dissemination of knowledge in computable form, preserving transparency and …
Position: Foundation Agents as the Paradigm Shift for Decision Making
Decision making demands intricate interplay between perception, memory, and reasoning to
discern optimal policies. Conventional approaches to decision making face challenges …
discern optimal policies. Conventional approaches to decision making face challenges …
Smart Mobility with Agent-based Foundation Models: Towards Interactive and Collaborative Intelligent Vehicles
This letter reports the insights gained during a Distributed/Decentralized Hybrid Workshop
on Foundation/Infrastructure Intelligence (FII), where we discussed the evolving role of …
on Foundation/Infrastructure Intelligence (FII), where we discussed the evolving role of …