rl-mgm 0.0.4

A Python module for reinforcement learning based energy management system tools

RL_MGM Module

Table of Contents

• RL_MGM Module
  • Table of Contents
  • General Info
    • * _A2CRL
    • * _DQRL
    • * _PPORL
    • * _RLCoach_ENVs
    • * alpyne
  • Technologies
  • Installation
  • Usage
    • RL agent generation
    • Environment definitions
  • License

General Info

This RL_MGM (reinforcement learning micro-grid managers) module contains a set of submodules that define RL networks for use as energy management agents. The modules can be defined as follows:

* _A2CRL

* _DQRL

* _PPORL

* _RLCoach_ENVs

* alpyne

Technologies

List the technologies used in this project. For example:

• Python: 3.8
• numpy: 1.26.3
• pandas: 2.1.4
• Joblib: 1.3.2
• matplotlib: 3.8.2
• torch: 2.1.2

Installation

pip install RL_MGM.

Usage

RL agent generation

Environment definitions

License

MIT License

Copyright (c) <2023>

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 (including the next paragraph) 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.