MAAC是基于actor-critic的[learn to cooperate]算法,该算法利用attention机制改善了MADDPG中critic输入随智能体数目增大而指数增加的扩展性问题,同时还借鉴COMA的思想,利用反事实基线(counterfactual baseline)来区分单个智能体对系统奖励的贡献,另外,MAAC还借鉴了VDN中值函数分解的思想用所有Q网络损失函数之和对每个Q网络进行...
一、研究目标 (一)存在问题 MADDPG无法解决环境不稳定的问题。同时critic的输入是各个智能体的观测-动作,当agent增加时,学习难度增大过快。 (二)研究目标 使用attention解决critic使用全局观察的问题,提高…
MAAC是一种基于actor-critic的多智能体合作学习算法，它结合了MADDPG、COMA、VDN和attention机制，虽然创新性不显著，但它加深了对多智能体协作算法的理解。尽管它可能更适合离散任务，但作者并未充分测试在连续任务中的表现。MAAC的核心是注意力机制，它解决了MADDPG中critic输入随着智能体数量增加而呈指数增...
We present an actor-critic algorithm that trains decentralized policies in multi-agent settings, using centrally computed critics that share an attention mechanism which selects relevant information for each agent at every timestep. This attention mechanism enables more effective and scalable learning in...
a multi-agent advantage actor-critic(MA2C)method is proposed with a novel local reward design and a parameter sharing scheme.In particular,a multi-... W Zhou,D Chen,J Yan,... - 自主智能系统(英文) 被引量: 0发表: 2022年 Prioritized Experience Replay in Multi-Actor-Attention-Critic for ...
Actor-Attention-Critic for Multi-Agent Reinforcement Learning论文学习笔记,程序员大本营,技术文章内容聚合第一站。
Projects Security Insights Additional navigation options master 1Branch Tags Code This branch is2 commits behindshariqiqbal2810/MAAC:master. README MIT license Multi-Actor-Attention-Critic Code forActor-Attention-Critic for Multi-Agent Reinforcement Learning(Iqbal and Sha, ICML 2019) ...
Code README MIT license Multi-Actor-Attention-Critic Code forActor-Attention-Critic for Multi-Agent Reinforcement Learning(Iqbal and Sha, ICML 2019) Requirements Python 3.6.1 (Minimum) OpenAI baselines, commit hash: 98257ef8c9bd23a24a330731ae54ed086d9ce4a7 ...
Paper tables with annotated results for SACHA: Soft Actor-Critic with Heuristic-Based Attention for Partially Observable Multi-Agent Path Finding
Actor-Attention-Critic for Multi-Agent Reinforcement Learning--这是ICML 2019上的一篇关于多智能体强化学习的paper: Actor-Attention-Critic for Multi-Agent Reinforcement Learningarxiv.org/abs/1810.02912 代码地址: https://github.com/shariqiqbal2810/MAACgithub.com/shariqiqbal2810/MAAC 概括:本文通过使...