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A generally applicable implementation of the Multi-Agent Deep Deterministic Policy Gradient (MADDPG)(PyTorch) algorithm across most reinforcement learning environments.

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MADDPG

A generally applicable implementation of the Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm across most reinforcement learning environments

大部分强化学习环境通用的MADDPG算法实现

This version of the MADDPG implementation references Phil's version. Here is Phil's YouTube channel@Machine Learning with Phil, thanks to Phil!

此版本的MADDPG实现参考了Phil的版本,这是Phil的Youtube频道@Machine Learning with Phil,感谢Phil!

Welcome to visit my Github Pages

欢迎访问我的GithubPages

Notice(注意):

The neural network architecture in this version is arbitrarily designed, and users need to customize the network layers according to their specific reinforcement learning tasks

此版本的神经网络只是随意设计的,用户需要根据自己的强化学习任务自定义网络层

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A generally applicable implementation of the Multi-Agent Deep Deterministic Policy Gradient (MADDPG)(PyTorch) algorithm across most reinforcement learning environments.

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  • Python 100.0%