Framework

  • Support Model, Algorithm and Agent abstractions.
  • Support wrappers for fluid.layers, which can easily share parameters between layers.
  • Support sync_params_to API in Model to synchronize parameters between model and target model directly.

Examples

  • QuickStart
  • DQN
  • DDPG
  • PPO
  • Winning solution of NeurIPS2018-AI-for-Prosthetics-Challenge

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 %