读论文《IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures》-CFANZ编程社区

论文地址：

https://arxiv.org/pdf/1802.01561v2.pdf

相关资料：

Deepmind Lab环境的python扩展库的安装：

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官方的代码地址：（无法运行）

https://gitee.com/devilmaycry812839668/scalable_agent

需要注意的一点是这个offical的代码由于多年无人维护，现在已经无法运行，只做留档之用。

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读论文《IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures》_python扩展

读论文《IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures》_python扩展_02

读论文《IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures》_杂谈_03

读论文《IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures》_python扩展_04

读论文《IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures》_杂谈_05

读论文《IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures》_杂谈_06

读论文《IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures》_杂谈_07

读论文《IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures》_杂谈_08

读论文《IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures》_git_09

读论文《IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures》_git_10

读论文《IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures》_scala_11

读论文《IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures》_杂谈_12

读论文《IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures》_scala_13