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第13讲 智能Agent及多Agent系统
Chapter 13 Intelligent Agent & Multi-Agent Systems
徐从富
浙江大学人工智能研究所
-Article 13 stresses Intelligent Agent and Multi-Agent System Chapter 13 Intelligent Agent
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强化学习是人工智能中策略学习的一种，基于预期最大利益原则。和博弈论有密切的关系，也是多主体系统学习的常用方法。-Reinforcement learning is a kind of artificial intelligence in the strategic study, based on the principle of best interests is expected. And game theory are closely related, but also multi-agen
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能够应用于多主体系统的模拟退火算法源程序，测试可用。-Multi-agent systems can be used in simulated annealing algorithm source code, testing is available.
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multi agent systems implimentation
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根据多智能体一致性理论，通过多智能体系统的拓扑结构定义了邻接矩阵，控制系统内多个智能体从分散的初始位置最后达到一个确定队形的编队运动。-Based on multi-agent theory, the adjacency matrix is defined by the topology of multi-agent systems, multiple agent control system from dispersed initial position last reached a cert
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非参数政策梯度的napping机制的java代码参考文献：Qing Da, Yang Yu, and Zhi-Hua Zhou. Napping for Functional Representation of Policy. In: Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 14), Paris, France, 2014.-This
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Coverage Algorithm for a mobile robots in a multi agent control systems
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多智能体蜂拥控制，单个领导者-跟随者模式和多个领导者-跟随者模式的matlab代码-Flocking control for multi-agent systems. Matlab codes for single leader or multi leaders-follower modes
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Modeling, Simulation, and Characterization of
Distributed Multi-agent Systems
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基于迭代学习控制ILC的多智能体一致性跟踪研究，算法设计-Iterative learning control for multi-agent systems consensus tracking
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切换拓扑结构的多智能体系统编队控制算法,未知非线性系统，迭代学习控制算法-An iterative learning approach to formation control of multi-agent systems Switching topology
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多智能体系统的仿真适合学习参考(simulations of mult-agent systems for studying or referencing)
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实现多智能体一致性编队, 是学习多智能体编队较好的资料。(The consensus formation control of multi-agent systems can be achieved.)
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粒子群优化在多智能体系统上的应用和仿真实现(the implementation of PSO in multi-agent systems)
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matlab编程，可以实现多智能体一致性。简单交流和学习(achieving the consensus of multi-agent systems)
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consensus multi-agent systems fuzzy control
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多智能体系统抗干扰仿真实验
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Distributed Adaptive Consensus Disturbance Rejection for Multi-Agent Systems on Directed Graphs(Anti interference simulation experiment of multi intelligent system
reference:
Distributed Adaptive Consensus Disturbance Rejection fo
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包涵一阶，二阶多智能体一致性，包涵对车辆的编队的算法仿真，最后仿真实现小车位置和速度的一致性。还包含带领导和时滞系统时的matlab仿真m文件(It includes the consistency of first-order and second-order multi-agent, the algorithm simulation of vehicle formation, and the consistency of vehicle position and speed. It also
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