这些e经过三个线性变换W_q, W_k, V得到query,key和value,query和key得到attention weights, 然后与value点乘得到attention x。 每个agent再根据 [x_i,e_i] 得到Q值 2)Critic的更新基于如下的loss,entropy term借鉴SAC的做法 Actor的更新,如下,借鉴了COMA的思路, 3)整体的算法伪代码如下(有一些疑问) 实验环境...
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:本文通过使用多头注意力机制的中心化的critic来解决多智能体间的合作问题,创新点在于将attention机制融入到critic中,使得agent在做...
Actions 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) ...
Multi Actor Hierarchical Attention Critic with RNN-based Feature ExtractionDianxi Shi a b cChenran Zhao aYajie Wang dHuanhuan Yang aGongju Wang bHao Jiang aChao Xue bShaowu Yang aYongjun Zhang b
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 ...
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。
Multi-agent reinforcement learning (MARL) has made significant advances in multi-agent systems. However, it is hard to learn a stable policy in complicated and changeable environment. To address these issues, a two-level attention network is proposed, wh
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…
原文: Actor-Attention-Critic for Multi-Agent Reinforcement Learning 作者: Shariq Iqbal, Fei Sha 论文发表时间: 2019年 代码: github.com/shariqiqbal2 多agent环境: github.com/openai/multi 1. 多agent环境中有效学习,前人一共提出2种方法,方法1单独的训练每个agent,其它agent作为环境的一部分,所以很难学习...