1、对抗性搜索 对抗搜索也称为博弈搜索。 在人工智能领域可以定义为:在一定规则条件下,有完整信息的、确定性的、轮流行动的、两个游戏者的零和游戏(如象棋)。 零和游戏:即你死我活,损人利己,为了我取得最佳结果,对手必须取得最差结果。 既然是游戏,那么就可以对其进行建模了: 初始状态:游戏开始时的初始值 ...
转载 2021-09-17 02:05:00
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Multiagent Collaboration在任务完成中的应用关键词:多智能体协作、任务完成、合作策略、决策协同、数据处理摘要:
随着人工智能技术的迅猛发展,如何在视频内容创作领域通过大模型自动化合成视频,来满足用户日益增长的内容需求?
  Anomaly Detection and Identification for Multiagent Systems Subjected to Physical Faults and Cyberattacks 1 Introduction 2 Preliminaries and Problem Formulation 2.1 System Description between
原创 2021-08-13 12:09:10
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Anomaly Detection and Identification for Multiagent Systems Subjected to Physical Faults
原创 2022-04-18 16:00:10
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导读随着人工智能技术的迅猛发展,AIGC(AI-Generated Content,人工智能生成内容)正逐步重塑内容创作行业的格局。尤其在视频内容领域,传统制作流程周期长、成本高、依赖人工创作,已难以满足日益增长的内容消费需求。AIGC技术的引入,为视频创作带来了前所未有的效率与可能性。AIGC工具 ...
Y. Li, H. Fang and J. Chen, “Anomaly Detection and Identification for Multiagent Systems Subjected to Physical Faults and Cyberatta
​​Y. Guo and G. Chen, “Robust Near-Optimal Coordination in Uncertain Multiagent Networks With Motion Constraints,” in IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2021.3125318.​​文章目录​​1. Introd
原创 2022-03-23 16:50:56
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文章目录1 Introduction2 Synchronization of multiagent discrete-time systems2.1 Preliminaries2.2 Synchronization and node error dynamics3 Nash equilibrium solution on
原创 2022-04-28 21:20:49
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Jiang Y, Ji L, Pu X, et al. Group consensus for discrete-time heterogeneous multiagent systems with input and communication delays[J]. Complexity, 2018, 2018.文章目录1
原创 2022-04-28 21:21:08
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multi-agent读书笔记 (一) ———Fundamentals of Multiagent Systems with NetLogo Examples by Prof. Jose M Vidal读书笔记 (二) ———Fundamentals of Multiagent Systems with NetLogo Examples by Prof. Jose M Vidal...
原创 2022-10-28 13:53:37
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gym.spaces中找不到prng解决方案在运行飞桨MADDPG问题是遇到模型无法导入不存的的问题:ModuleNotFoundError: No module named 'multiagent'from parl.env.multiagent_simple_env import MAenv一
原创 2022-02-22 14:46:35
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Dong X, Hu G. Time-varying formation tracking for linear multiagent systems with multiple leaders[J]. IEEE Transactions on Automatic Control, 2017, 62(7): 3658-36.
原创 2022-01-25 10:32:13
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Dong X, Hu G. Time-varying formation tracking for linear multiagent systems with multiple leaders[J]. IEEE Transactions on Automatic Control, 2017, 62(7): 3658-3664.
原创 2021-08-10 14:29:00
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下面遵循综述Is multiagent deep reinforcement learning the answer or the question? A brief survey对多智能体强化学习算法的分类方法,将 MARL 算法分为以下四类:Analysis of emergent behaviors(行为分析)
文章目录论文:ACTION SEMANTICS NETWORK: CONSIDERING THE EFFECTS OF ACTIONS IN MULTIAGENT SYSTEMS存在的问题&研究动机&研究思路创新点算法框图实验some points 论文:ACTION SEMANTICS NETWORK: CONSIDERING THE EFFECTS OF ACTIONS IN
下面遵循综述Is multiagent deep reinforcement learning the answer or the question? A brief survey对多智能体强化学习算法的分类方法,将 MARL 算法分为以下四类:Analysis of emergent behaviors(行为分析) Learning communication(通信学习)
原创 2022-02-22 14:24:00
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复习建议看tutorial和最后一节复习课,然后建议买个出水流畅的笔(markdown和pdf版本 文章目录Lec01 Agent and MAS (Desc)1.1. Agent1.2. Multiagent System(MAS)1.3. The Subsumption Reactive Architecture(SRA):![在这里插入图片描述](https://s2.51cto.com/i
【一】MADDPG-单智能体|多智能体总结(理论、算法)【二】MADDPG多智能体算法实现(parl)【追逐游戏复现】之前用的都是paddle,现在补一下tf的。github上openAI已经给出了maddpg的环境配置https://github.com/openai/maddpg以及https://github.com/openai/multiagent-particle-envs,
原创 2022-02-22 14:20:19
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相关文章:【一】MADDPG-单智能体|多智能体总结(理论、算法)【二】MADDPG多智能体算法实现(parl)【追逐游戏复现】之前用的都是paddle,现在补一下tf的。github上openAI已经给出了maddpg的环境配置https://github.com/openai/maddpg以及https://github.com/openai/multiagent-particle-envs,
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