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1. Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments NSTL国家科技图书文献中心

Mansur Arief |  Mike Timmerman... -  《IEEE robotics and automation letters》 - 2025,10(2) - 1098~1105 - 共8页

摘要:Training intelligent agents to navigate highly |  sensitive to extreme cases, impairing the agents |  interactive environments presents significant challenges | . While guided meta reinforcement learning (RL) approach |  that first trains a guiding policy to train the ego
关键词: Training |  Proposals |  Navigation |  Monte Carlo methods |  Mixture models |  Autonomous agents |  Uncertainty |  Reinforcement learning |  Planning |  Intelligent agents

2. When more is less: Finding the optimal balance of intelligent agents' transparency in level 3 automated vehicles NSTL国家科技图书文献中心

Zang, Jing |  Jeon, Myounghoon -  《International journal of human-computer studies》 - 2025,193 - 共17页

摘要:-vehicle intelligent agents (IVIAs) is an important |  can contribute to the advancement of intelligent |  agent transparency design in automated vehicles. | In automated vehicles, transparency of in |  contributor to drivers' perception, situation awareness, and
关键词: Intelligent agents |  Automated vehicles |  Transparency |  Explainable AI |  System reliability

3. Models of Intelligent Tutoring Systems Based on Autonomous Agents for Virtual Learning Environments: A Systematic Literature Review NSTL国家科技图书文献中心

Juan P. Lopez-Goyez |  Alfonso Gonzalez-Bri...... -  《Advances in Practical Applications of Agents,Multi-Agent Systems,and Digital Twins》 -  International Conference on Practical Applications of Agents and Multi-Agent Systems - 2025, - 184~195 - 共12页

摘要: tutoring systems (ITS) models that use autonomous agents |  education. The objective is to identify intelligent |  agents. A holistic approach is considered, combining |  of students in the online modality using autonomous | Virtual education combines didactic strategies
关键词: Adaptative learning |  Autonomous agents |  Virtual education |  Intelligent tutoring system |  Virtual learning environment

4. Nursing Activity Recognition for Automated Care Documentation in Clinical Settings NSTL国家科技图书文献中心

Frank Wallhoff |  Fenja T. Hesselmann -  《Artificial Intelligence XLI,Part II》 -  SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence - 2025, - 244~250 - 共7页

摘要:This paper introduces a concept for an |  assistance system that enables nursing staff in real-life |  clinical settings to reduce the time-consuming nursing |  documentation effort, e.g. from the morning routine. The |  overall goal is an AI-based documentation assistant that
关键词: Human activity recognition |  Data privacy |  Assisted documentation |  Intelligent agents

5. Graph-Based Learning in Core and Edge Virtualized O-RAN for Handling Real-Time AI Workloads NSTL国家科技图书文献中心

Prohim Tam |  Seokhoon Kim -  《IEEE transactions on network science and engineering》 - 2025,12(1) - 302~318 - 共17页

摘要: by intelligent agent controller. Edge cloud |  network (O-RAN) and intelligent core network | AI-empowered applications have been deployed |  in many aspects of networking, and federated |  learning (FL) has emerged as a complementary approach due
关键词: Open RAN |  Cloud computing |  Computational modeling |  Training |  Data models |  Resource management |  Virtualization |  Optimization |  Real-time systems |  Intelligent agents

6. Learning Contrastive Representations for Dense Passage Retrieval in Open-Domain Conversational Question Answering NSTL国家科技图书文献中心

Munazza Zaib |  Quan Z. Sheng... -  《Web Information Systems Engineering - WISE 2024,Part I》 -  International Conference on Web Information Systems Engineering - 2025, - 3~13 - 共11页

摘要:Recent research on the task of Conversational |  Question Answering (ConvQA) emphasizes the role of open | -retrieval in a multi-turn interaction setting consisting |  of a retriever-reader pipeline, wherein the former |  focuses on selecting relevant passages from a large
关键词: Web information retrieval |  Intelligent dialogue agents |  Web agents |  Conversational search

7. Intelligent scheduling task adjustment method based on graph neural network and adaptive weights NSTL国家科技图书文献中心

Lei Liu |  Xuexia Yu... -  《Fourth International Conference on Computer Vision,Application,and Algorithm (CVAA 2024)》 -  International Conference on Computer Vision,Application,and Algorithm - 2025, - 1348631.1~1348631.6 - 共6页

摘要: executed by intelligent agents more flexible and |  computing tasks received by intelligent agents in the |  reasonable, a method for adjusting intelligent scheduling |  intelligent tasks based on recurrent neural networks |  algorithm, intelligent task scheduling adjustment is
关键词: Graph neural network |  Adaptive weight |  Arrange tasks

8. Emergence of Grounded Language Representations for Continuous Object Properties Through Decentralized Embodied Learning NSTL国家科技图书文献中心

Yu Wei |  Satoshi Nakagawa... -  《PRICAI 2024,Part II》 -  Pacific Rim International Conference on Artificial Intelligence - 2025, - 200~205 - 共6页

摘要: developing intelligent agents with versatile linguistic |  environment perturbations and data augmentation, agents |  concepts, our agents develop language grounded in | While existing emergent language systems often |  lack robust grounding in real-world perceptual
关键词: Multi-agent system |  Grounded communication |  Generalization of representation |  Coordination

9. Model-Driven Design and Generation of Training Simulators for Reinforcement Learning NSTL国家科技图书文献中心

Sotirios Liaskos |  Shakil M. Khan... -  《Advances in Conceptual Modeling》 -  International Conference on Conceptual Modeling - 2025, - 170~191 - 共22页

摘要: intelligent agents optimize their behavior by observing and |  number of ways by which an intelligent agent can |  such agents is to provide them with the opportunity |  which the agents can be trained while also different |  agents and the characteristics of the target
关键词: Goal modeling |  Reinforcement learning |  DT-Golog

10. Research on virtual collaborative emergency response to road emergencies based on Multi-Agent NSTL国家科技图书文献中心

Shuaibao Ma |  Jianqin Zhang... -  《Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024)》 -  International Conference on Intelligent Traffic Systems and Smart City - 2025, - 1342202.1~1342202.9 - 共9页

摘要: flood season, Intelligent agents such as scene agent |  agents are established in the virtual scene to | Emergencies are characterized by suddenness | , complexity, and high uncertainty. Drills to respond to |  emergencies mostly use actual combat methods, which consume
关键词: Multi-agent |  Virtual scenes |  Collaborative emergency response |  Road emergencies |  System simulation
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