Distributed-DRL:分布式深度强化学习-源码

上传者: 42101720 | 上传时间: 2021-09-18 15:12:57 | 文件大小: 874KB | 文件类型: ZIP
分布式DRL 分布式深度强化学习 该框架的灵感来自OpenAI的通用RL培训系统Rapid 。 快速框架: 我们的框架: 教程 该框架将强化学习过程分为五个部分: 重播缓冲区(选项) 参数服务器 火车(学习) 推出 测试 @ ray . remote class ReplayBuffer : ... # replay buffer @ ray . remote class ParameterServer ( object ): ... # keep the newest network weights here # could pull and push the weights # also could save the weights to local @ ray . remote ( num_gpus = 1 ,

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