Discovering User-Interpretable Capabilities of Black-Box Planning Agents
专题命中 规划决策 :planning(title,abstract);agent(abstract);AI agent(abstract);分类 cs.AI
Comments KR 2022
AI 大模型
智能体、工具调用、规划、工作流、多智能体和自主任务执行。
专题命中 规划决策 :planning(title,abstract);agent(abstract);AI agent(abstract);分类 cs.AI
Comments KR 2022
专题命中 规划决策 :planning(title,abstract);agent(abstract);multi-agent(abstract);分类 cs.AI
Comments accepted to L4DC
专题命中 规划决策 :planning(title,abstract);agent(abstract);multi-agent(abstract);分类 cs.AI
Comments 8 pages, 6 figures, 1 table
专题命中 规划决策 :planning(title,abstract);agent(abstract);multi-agent(abstract);分类 cs.AI
专题命中 规划决策 :agent(title,abstract);autonomous agent(abstract);planning(abstract);分类 cs.AI
专题命中 规划决策 :planning(title,abstract);agent(abstract);multi-agent(abstract);分类 cs.LG
Comments Modifications: final formatting; Code available under https://github.com/hbayerlein/uav_data_harvesting, article extends on arXiv:2007.00544
Journal ref IEEE Open Journal of the Communications Society, vol. 2, pp. 1171-1187, 2021
专题命中 规划决策 :planning(title,abstract);agent(abstract);multi-agent(abstract);分类 cs.AI
专题命中 规划决策 :planning(title,abstract);agent(abstract);multi-agent(abstract);分类 cs.AI
专题命中 规划决策 :planning(title,abstract);agent(abstract);AI agent(abstract);分类 cs.AI
专题命中 规划决策 :planning(title,abstract);agent(abstract);multi-agent(abstract);分类 cs.AI
专题命中 规划决策 :planning(title,abstract);agent(abstract);AI agent(abstract);分类 cs.AI
Comments arXiv admin note: text overlap with arXiv:1902.00604
专题命中 规划决策 :planning(title,abstract);agent(abstract);multi-agent(abstract);分类 cs.LG
专题命中 规划决策 :planning(title,abstract);agent(abstract);multi-agent(abstract);分类 cs.AI
专题命中 规划决策 :autonomous agent(title,abstract);agent(abstract);planning(abstract);分类 cs.AI
专题命中 规划决策 :planning(title,abstract);agent(abstract);multi-agent(abstract);分类 cs.CL
专题命中 规划决策 :planning(title,abstract);agent(abstract);multi-agent(abstract);分类 cs.AI
专题命中 规划决策 :planning(title,abstract);agent(abstract);autonomous agent(abstract);分类 cs.AI
Comments 8 pages, 8 figures, Accepted to Intelligent Vehicles (IV) Symposium 2019
专题命中 规划决策 :planning(title,abstract);agent(abstract);multi-agent(abstract);分类 cs.AI
专题命中 规划决策 :agent(title,abstract);AI agent(abstract);planning(abstract);分类 cs.AI
Comments 8 pages, to appear in 2019 AAAI workshop on Games and Simulations for Artificial Intelligence ( https://www.gamesim.ai/ )
专题命中 规划决策 :planning(title,abstract);agent(abstract);multi-agent(abstract);分类 cs.AI
Journal ref Proceedings of the International Conference on Advances in Intelligence Systems Theory and Applications (AISTA), 2004, November, pages 367-376, Luxembourg-Kirchberg, Luxembourg
专题命中 规划决策 :planning(title,abstract);agent(abstract);multi-agent(abstract);分类 cs.AI
Comments In Proceedings M4M9 2017, arXiv:1703.01736
Journal ref EPTCS 243, 2017, pp. 1-22
专题命中 规划决策 :agent(title,abstract);autonomous agent(abstract);planning(abstract);分类 cs.AI
Comments See http://www.jair.org/ for any accompanying files
Journal ref Journal of Artificial Intelligence Research, Vol 1, (1994), 139-158
专题命中 规划决策 :planning(title,abstract);agent(abstract);multi-agent(abstract);分类 cs.AI
Comments 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), Extended version with proofs, 24 pages
专题命中 规划决策 :planning(title,abstract);agent(abstract);multi-agent(abstract);分类 cs.AI
Journal ref Journal Of Artificial Intelligence Research, Volume 13, pages 189-226, 2000
专题命中 规划决策 :planning(title,abstract);agent(abstract);multi-agent(abstract)
Comments Submitted to Advanced Robotics special issue on Online Motion Planning and Model Predictive Control
专题命中 规划决策 :planning(title,abstract);agent(abstract);multi-agent(abstract)
Comments Workshop for Planning and Robotics (PlanRob), International Conference on Automated Planning and Scheduling (ICAPS), 2023
专题命中 规划决策 :planning(title,abstract);agent(abstract);multi-agent(abstract)
Comments European Conference on Computer Vision (ECCV) 2020; Project page at http://haoran-song.github.io/planning-informed-prediction
一种用于约束和自适应行为基 agent 的框架
专题命中 规划决策 :agent(title_cn,summary_cn);分类 cs.AI、cs.LG
AI总结 本文提出一种框架,通过强化学习节点整合到行为树中,解决约束 agent 的学习能力问题,并展示其与分层强化学习选项的关系,确保嵌套学习节点的收敛性。
Comments 2015; 15 pages
Cerberus:多智能体推理与覆盖引导探索用于运行时错误的静态检测
机构 * University of Texas at Dallas(德克萨斯大学达拉斯分校)
专题命中 规划决策 :agent(title);multi-agent(title);分类 cs.LG、cs.SE
AI总结 Cerberus通过多智能体推理和覆盖引导探索,实现无执行的运行时错误静态检测,提高测试效率和错误发现能力。
一种适应性强且数据集成的基于代理的建模框架,用于可解释且可争议的政策设计
机构 * Faculty of Pure and Applied Sciences Open University of Cyprus(塞浦路斯开放大学纯科学与应用科学学院)
专题命中 规划决策 :agent(title,abstract);multi-agent(abstract,comments);分类 cs.AI、cs.LG
AI总结 本文提出了一种适应性强且数据集成的基于代理的建模框架,用于可解释且可争议的政策设计,通过整合动态制度、信息论诊断、结构因果模型等方法,实现对多代理系统动态行为的系统分析与比较。
Comments 27 pages, 2 case studies (emissions and smart grids). Preprint prepared during the author's PhD research at the Open University of Cyprus and the University of Milano-Bicocca. Introduces a unified framework for adaptive multi-agent learning with information-theoretic, causal, and clustering diagnostics