MPE(multiagent particle environment)是由OpenAI开发的一套时间离散、空间连续的二维多智能体环境,该环境通过控制二维空间中不同角色粒子(particle)的运动来完成一系列任务,使用方法与gym十分类似,目前被广泛用于各类MARL算法的仿真验证。 我的研究方向是多无人机协同控制,相关场景和MPE十分类似,因此我花了两天的时间研究...
3、pip install -e . 即可。 二、simple_world_comm环境详解 multiagent-particle-envs基于gym开发,所以环境创建流程基本于gym一致。multiagent-particle-envs包含9个环境,分别为simple、simple_adversary、simple_crypto、simple_push、simple_reference、simple_speaker_listener、simple_spread、simple_tag、simple_world...
A simple multi-agent particle world with a continuous observation and discrete action space, along with some basic simulated physics. Used in the paper Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments.Getting started:To install, cd into the root directory and type pip install ...
MultiAgentEnv(gym.Env)类的env对象是强化学习算法与环境模拟器之间的桥梁，主要作用就是将由强化学习控制的智能体agents与环境模拟器中的agents连接起来，实现对环境模拟器的控制。因此，我们对于环境模拟器的控制最终都是通过env对象完成。env对象由env.world对象与env.agents对象组成，这里的world对象就是...
Multi-Agent Particle Environment A simple multi-agent particle world with a continuous observation and discrete action space, along with some basic simulated physics. Used in the paper Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments. Getting started: To install, cd into the roo...
Multi-Agent Particle Environment A simple multi-agent particle world with a continuous observation and discrete action space, along with some basic simulated physics. Used in the paper Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments. Getting started: To install, cd into the roo...
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: 基于Particle World设计的两个合作式任务 1)Cooperative Treasure Collection ...
Agent-oriented design is one of the most active areas in the field of deployment of web-based distance education, and test is a popular measurement tool of learnerspsila knowledge in order to verify the learnerpsilas level of understanding and select corresponding educational strategy. In this pap...
LEE K C,LEE N,LEE H.Multi-agent knowledge integration mechanism using particle swarm optimization[J].Technological Forecasting & Social Change,2012,79(3):469-484.LEE K C;LEE N;LEE H.Multi-agent knowledge integration mechanism using particle swarm optimization.Technological Forecasting & Social ...
被引量: 21发表: 2015年 Multi-Objective Calibration For Agent-Based Models Agent-based modelling is already proving to be an immensely useful tool for scientific and industrial modelling applications. Whilst the building of such m... A Rogers,PV Tessin 被引量: 30发表: 2004年 加载更多研究...