GitHub - openai/multiagent-particle-envs: Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"github.com/openai/multiagent-particle-envs p.s. MPE中粒子的运动既可以是离散的(前后左右四个方向),也可以是连续的(x...
首先,从github上下载完整的zip压缩包(multiagent-particle-envs-master.zip)到本地。解压后,复制路径名(包括multiagent-particle-envs-master文件夹)备用,打开cmd/Anaconda Prompt,**你要安装到的环境,输入以下命令pip install -e (path name) 安装成功后,可以用以下代码检验。
Multi-Agent Particle EnvironmentA 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...
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三种任务: Cooperative Navigation Cooperative Navigation:N个agent合作到达L个地标,同时避免碰撞 DDPG的策略更具侵略性,即多个agent通常同时接近一个里程碑,这可能会导致碰撞。 CommNet和BiCNet代理都比较保守,也就是说,他们更愿意避免碰撞,而不是夺取一个地标,这最终会导致一小部分被占...
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...
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments" - multiagent-particle-envs/multiagent/environment.py at master · openai/multiagent-particle-envs
Github:https://github.com/openai/multiagent-particle-envs 论文Blog:Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments - 穷酸秀才大艹包 - 博客园 (cnblogs.com) 创造新环境 您可以通过实现上面的前4个函数来创建新的场景 (`make_world()`, `reset_world()`, `reward()`, and `...
The Multi-Agent Particle Environments (MPE) were introduced as part of Mordatch and Abbeel [2017] and first released as part of Lowe et al. [2017]. These are 9 communication oriented environments where particle agents can (sometimes) move, communicate, see each other, push each other around...
AgentVerse 在代码实现上,包含了两个基础元素agent和environment, agent不用过多介绍,他的工作行为依赖特定的prompt以及配合大模型llm进行结果生成。 这里的environment就是代表着任务,在environment中通过定义agents以及rules等信息,来确保多智能体的交互流程能够按照上述进行。 值得注意的是,environment 的rules中包含了5...