Comments (3)
Yes! We will open-source a multi-agent example in the next release!
For centralized Multi-agent reinforcement learning(MARL) algorithm, its implementation is similar to the single-agent algorithm.
For decentralized MARL algorithm, we can synchronize parameters among different agents by using xparl
, the parallel computation tool in PARL.
from parl.
thx,I can't wait for it.
from parl.
Thanks for your interest in PARL. We are now working on the state-of-the-art algorithms on continuous spaces such as TD3, SAC. For other algorithms, we still need more time to implement.
from parl.
Related Issues (20)
- import parl时报错RuntimeError问题 HOT 1
- A2C模型训练报错 HOT 1
- train.py导入parl时报错怎么解决 HOT 6
- 运行lesson3的课件代码,无法显示平衡杆的图像效果 HOT 4
- PARL在MacOS系统上用pip安装的时候报错 HOT 2
- LESSON5中的DDPG,将PyCharm中提示未实现抽象函数的类都实现后,reward一直处于10左右
- 救命,安装需要的环境包的时候没有一个包安得上,换了ali的源也一样,ubuntu18.04
- pip安装parl时报错
- 电气研究生跨考控制之我真是小白!!! HOT 1
- import parl时RuntimeError HOT 2
- 询问gym库中OBS对象属性的问题
- 使用python train.py运行tutorials中的代码没有反应
- 渲染图像render=True时,代码报错,图像框一下子闪退 Windows10
- torch的选择问题? HOT 2
- DDPG mujoco error
- It seems `fluid` is absent from paddlepaddle after 2.5, causing issue with backend detection on Windows HOT 1
- Attributerror HOT 6
- pip安装问题 HOT 4
- 分发本地文件如何同步更新呢 HOT 1
- Remaining issues of CI HOT 1
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