CITATION.cff

cff-version: 1.2.0
message: If you use this software, please cite it as below.
title: "PlugRL Server"
abstract: >-
  PlugRL runs reinforcement learning training and the environments it learns
  from as separate processes, joined by a small WebSocket protocol, so the two
  sides can be installed, versioned and scheduled independently and an env
  client need not be written in Python at all. The protocol is openpi's
  serving format plus a feedback return channel, which is what lets a client
  close a training loop rather than only an inference one. This repository
  holds the training server: policies, algorithms and batched inference.
type: software
authors:
  - family-names: Lu
    given-names: Chenhao
    email: luch21@mails.tsinghua.edu.cn
  - family-names: Gou
    given-names: Zuo
    alias: tactino
  - family-names: Kang
    given-names: Zilin
    alias: nothingbutbut
repository-code: https://github.com/PlugRL/plugrl-server
license: Apache-2.0
version: 0.1.0
date-released: "2026-09-09"
keywords:
  - reinforcement-learning
  - vision-language-action
  - robot-learning
  - research-infrastructure