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multiagent-rl-rm

The Multi-Agent RLRM (Reinforcement Learning with Reward Machines) Framework is a library designed to facilitate the formulation of multi-agent problems and solve them through reinforcement learning. The framework supports the integration of Reward Machines (RMs), providing a modular and flexible st

Details

Author
Alee08
Category
Image & Vision
Platform
GitHub
Framework
openai
Language
python
Stars
9
First indexed
2026-05-15
Last active
2025-12-21
Directory sync
2026-05-15

Overview

The Multi-Agent RLRM (Reinforcement Learning with Reward Machines) Framework is a library designed to facilitate the formulation of multi-agent problems and solve them through reinforcement learning. The framework supports the integration of Reward Machines (RMs), providing a modular and flexible st

Quick start

git

git clone https://github.com/Alee08/multiagent-rl-rm

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What multiagent-rl-rm can do

  • Framework — framework task automation.
  • Hr — Handles people operations such as hiring and policy Q&A.
  • Defi — Interacts with decentralised finance protocols.
  • Design — design task automation.
  • Llm — llm task automation.

Frequently asked questions

What is multiagent-rl-rm?
The Multi-Agent RLRM (Reinforcement Learning with Reward Machines) Framework is a library designed to facilitate the formulation of multi-agent problems and solve them through reinforcement learning. The framework supports the integration of Reward Machines (RMs), providing a modular and flexible st
How do I install multiagent-rl-rm?
Use git: `git clone https://github.com/Alee08/multiagent-rl-rm`. Full setup details on the source page linked above.
Is multiagent-rl-rm open source?
multiagent-rl-rm is published on GitHub.
What are alternatives to multiagent-rl-rm?
Comparable agents include lobehub, stable-baselines3, ui. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for multiagent-rl-rm is sourced from GitHub, published by Alee08.

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