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MIT

Parallelism_Reinforce_CartPole

介绍

强化学习中的策略网络算法。《TensorFlow实战》一书中强化学习部分的策略网络算法,仿真环境为gym的CartPole,本项目是对原书代码进行了部分重构,是在以前的版本CartPole_PolicyNetwork项目基础上的改进版本,主要讨论了强化学习在多仿真环境下单步交互并行化设计。本项目分布给出了mode=0,mode=1,mode=2,mode=3共四种并行设计。

软件环境

python3.7, tensorflow-gpu==1.14, gym, numpy

软件说明

讨论了强化学习在多仿真环境下单步交互并行化设计,mode_3文件夹下面的为几种设置下的试验结果。

MIT License Copyright (c) 2021 鬼&泣 Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

简介

gym下简单的CarlPole环境作为仿真环境,以reinforce算法作为实例算法,讨论了强化学习在多仿真环境下单步交互并行化设计的可行性,并给出了几种个人设计的架构,同时对各架构的性能进行了一定的分析。 展开 收起
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