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...
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，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...
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...
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...
Our method is tested in multi-agent particle environments (MPE) and in StarCraft II. Experimental results demonstrate that our proposed method can effectively degrade the performance of multi-agent deep reinforcement learning algorithms with fewer attacks and lower computational costs....
agent.py main.py runner.py MADDPG This is a pytorch implementation of MADDPG onMulti-Agent Particle Environment(MPE), the corresponding paper of MADDPG isMulti-Agent Actor-Critic for Mixed Cooperative-Competitive Environments. Requirements python=3.6.5 ...
In order to validate the performance of our algorithm, we test SRI-AC in four experimental environments. The first three scenarios are multi-agent particle environment proposed in [21], [29], [52]. In our setting, we change the first three into a two-dimensional world with discrete-time,...
When the random value of A is greater than 1 or less than −1, the humpback whale search agent moves away from the prey to search, thereby finding a more suitable prey, which shows the exploration function of the whale optimization algorithm in the global search. 3.3. Whale Optimization ...
MPE: A set of simple nongraphical communication tasks, originally from https://github.com/openai/multiagent-particle-envs SISL: 3 cooperative environments, originally from https://github.com/sisl/MADRL Installation To install the base PettingZoo library: pip install pettingzoo. This does not includ...
Multiagent Particle-World Environments (MPEs) Google Research Football (GRF) StarCraftII (SMAC) v2 1. Usage WARNING: by default all experiments assume a shared policy by all agents i.e. there is one neural network shared by all agents All core code is located within the onpolicy folder. ...