Documentation

  • Add Chinese version of README in homepage.

Framework

  • Support for distributed training. Add parallelization module parl.remote.
  • Functional APIs to dump and load parameters in numpy arrays. Add get_params and set_params to support getting parameters from parl.Model, parl.Algorithm and parl.Agent.
  • Add IMPALA and A3C algorithms to parl.algorithms.

Examples

  • IMPALA
  • A2C
  • GA3C

项目简介

A high-performance distributed training framework for Reinforcement Learning

发行版本 5

PARL 1.3

全部发行版

贡献者 23

全部贡献者

开发语言

  • Python 82.6 %
  • C++ 10.3 %
  • JavaScript 3.1 %
  • Shell 1.4 %
  • CMake 1.2 %