代理目标的对齐 (Alignment of Agent Objectives): 这指的是多代理系统中所有代理的目标或奖励函数是否相互一致或对齐。当所有代理的目标完全对齐时,他们会合作以最大化共同的奖励。当目标不完全对齐或存在冲突时,代理可能会竞争或采取对抗行动。 均衡点 (Equilibrium Points): 在多代理学习和博弈论中,均衡点是一个...
specifically in repeated games or stochastic games, the key feature that distinguishes MAL from single-agent learning is that in the former the learning of one agent impacts the learning of others. As a result, neither the problem definition for ...
一、Independent Learning Algorithms In this category, each agent is trained independently, ignoring the presence of other agents in the environment. In this category, we have three algorithms: Independent Q-Learning (IQL): In IQL [10], each agent is trained using the DQN algorithm, based on i...
Reinforcement learning (RL) is a machine-learning method in which one agent or a group of agents maximises its long-term return through repeated interaction with its environment. Agents are not told what actions to take and must learn their optimal behaviour via trial-and-error. Since rewards m...
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms 来自 arXiv.org 喜欢 0 阅读量: 1599 作者:K Zhang,Z Yang,T Baar 摘要: Recent years have witnessed significant advances in reinforcement learning (RL), which has registered great success in solving various sequential...
MSPM: A modularized and scalable multi-agent reinforcement learning-based system for financial portfolio management Financial portfolio management (PM) is one of the most applicable problems in reinforcement learning (RL) owing to its sequential decision-making nature. H... Z Huang,F Tanaka - 《Plo...
% 本文参照文献:Flocking for Multi-Agent Dynamic Systems:Algorithms and Theory clear; close all; clc; %% Parameters 初始化参数 num_agents = 100; t_gap=1; % 迭代间隔 queue_gap=15; % 队形间隔 queue_vy=12; queue_vx=13; queue_r=40; ...
(Olfati-Saber, Flocking for multi-agent dynamic systems: algorithms and theory. IEEE Trans Autom Control, 51(3), 2016; Olfati-Saber, Murray, Flocking ... KY Shutova 被引量: 0发表: 2023年 Flocking of multi-agent systems with multiple second-order uncoupled linear dynamics and virtual leader...
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Although well understood in the single-agent framework, the use of traditional reinforcement learning (RL) algorithms in multi-agent systems (MAS) is not a... K Tuyls,K Verbeeck,T Lenaerts - ACM 被引量: 132发表: 2003年 On multiagent Q-learning in a semi-competitive domain Q-learning is...