Extensive simulations show that the success rate of the DE-MADDPG is higher than that of the MADDPG algorithm, confirming the effectiveness of the proposed method. Keywords: DE-MADDPG; UAV cluster; connected communication network; reward reshaping...
51CTO博客已为您找到关于基于pytorch的MADDPG的相关内容,包含IT学习相关文档代码介绍、相关教程视频课程,以及基于pytorch的MADDPG问答内容。更多基于pytorch的MADDPG相关解答可以来51CTO博客参与分享和学习,帮助广大IT技术人实现成长和进步。
打开prompt,cd到这两个⽂件夹的⼤⽂件夹⾥。运⾏命令pip install -e maddpg-master,安装所有配置。运⾏命令pip install -e multiagent-particle-envs-master。运⾏命令cd maddpg-master 运⾏命令cd erperiments 运⾏命令python train.py --scenario simple 就OK了。
从maddpg改为maac代码MADDPG (Multi-Agent Deep Deterministic Policy Gradient) 是一个用于多智能体任务的深度强化学习算法,而MAAC (Multi-Agent Asyncronous Critic) 是另一种多智能体强化学习算法。要将MADDPG转换为MAAC代码,您需要进行以下步骤: 1.更改神经网络架构:MAAC使用两个独立的神经网络:一个用于策略(Actor...