LiteMultiAgent is a lightweight and extensible multi-agent reinforcement learning (MARL) platform designed for rapid experimentation. It allows researchers to design and test coordination, competition, and collaboration scenarios in simulated environments.
Features
- Lightweight multi-agent RL framework optimized for quick setup and experimentation
- Supports customizable environments for a variety of multi-agent scenarios
- Includes basic reinforcement learning algorithms for multi-agent setups
- Provides tools for agent communication and interaction
- Facilitates training and evaluation of cooperative and competitive agents
Project Samples
License
MIT LicenseFollow LiteMultiAgent
You Might Also Like
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of LiteMultiAgent!