MARTI provides researchers and developers with a modular Python framework to design, train, and evaluate multi-agent reinforcement learning algorithms. It includes customizable simulation environments, integration with popular RL libraries, built-in logging, visualization, and performance metrics. Users can easily implement new algorithms or compare existing ones at scale. MARTI ensures reproducibility of experiments, supports distributed training, and offers tools for scenario configuration, accelerating academic research and industrial prototyping in multi-agent systems.
AI Platforms & Frameworks
Development Environment
Research
#multi-agent reinforcement learning
#RL toolkit
#deep learning framework
#GPU Acceleration
#Distributed training
#modular algorithm development
#Performance Benchmarking
#gaming AI
#Autonomous Systems
#robotics research
#algorithm comparison
#plug and play interface
#experimental reproducibility
#visualization tools
#reward structures
#agent communication protocols
#Academic Research
#open source collaboration
#Rapid Prototyping
#custom environments
...
Promote this Tool
Update this Tool
MARTI
MARTI provides researchers and developers with a modular Python framework to design, train, and evaluate multi-agent reinforcement learning algorithms. It includes customizable simulation environments, integration with popular RL libraries, built-in logging, visualization, and performance metrics. Users can easily implement new algorithms or compare existing ones at scale. MARTI ensures reproducibility of experiments, supports distributed training, and offers tools for scenario configuration, accelerating academic research and industrial prototyping in multi-agent systems.
AI Platforms & Frameworks
Development Environment
Research
#multi-agent reinforcement learning
#RL toolkit
#deep learning framework
#GPU Acceleration
#Distributed training
#modular algorithm development
#Performance Benchmarking
#gaming AI
#Autonomous Systems
#robotics research
#algorithm comparison
#plug and play interface
#experimental reproducibility
#visualization tools
#reward structures
#agent communication protocols
#Academic Research
#open source collaboration
#Rapid Prototyping
#custom environments
...
Featured
What is MARTI?
MARTI (Multi-Agent Reinforcement learning Toolkit and Interface) is a research-oriented framework that streamlines the development, evaluation, and benchmarking of multi-agent RL algorithms. It offers a plug-and-play architecture where users can configure custom environments, agent policies, reward structures, and communication protocols. MARTI integrates with popular deep learning libraries, supports GPU acceleration and distributed training, and generates detailed logs and visualizations for performance analysis. The toolkit’s modular design allows rapid prototyping of novel approaches and systematic comparison against standard baselines, making it ideal for academic research and pilot projects in autonomous systems, robotics, game AI, and cooperative multi-agent scenarios.
Who will use MARTI?
- Reinforcement learning researchers
- AI and robotics developers
- Graduate students in machine learning
- Academic institutions
- Industrial R&D teams
How to use the MARTI?
- Step1: Clone the MARTI repository from GitHub.
- Step2: Install dependencies via pip (e.g., gym, PyTorch, or TensorFlow).
- Step3: Configure simulation environments and agent settings in the config file.
- Step4: Select or implement your multi-agent RL algorithm module.
- Step5: Run training scripts to start experiments with logging enabled.
- Step6: Monitor training through generated metrics and visualizations.
- Step7: Analyze results using built-in reporting tools or export logs.
- Step8: Iterate by adjusting hyperparameters or environment scenarios.
Platform
- mac
- windows
- linux
MARTI's Core Features & Benefits
The Core Features
- Modular multi-agent environment support
- Plugin interface for custom RL algorithms
- Integration with PyTorch and TensorFlow
- Distributed training and GPU acceleration
- Built-in logging, visualization, and metrics
- Scenario configuration and reproducibility tools
The Benefits
- Rapid prototyping and benchmarking
- Easy comparison of algorithm performance
- Scalable to large-scale multi-agent systems
- Ensures experiment reproducibility
- Comprehensive analysis and visualization
- Open-source research collaboration
MARTI's Main Use Cases & Applications
- Academic benchmarking of new multi-agent RL methods
- Prototyping cooperative autonomous robot behaviors
- Evaluating competitive multi-agent game strategies
- Industrial research on distributed control systems
- Development of agent communication protocols
FAQs of MARTI
MARTI Company Information
MARTI Reviews
5/5
MARTI's Main Competitors and alternatives?
- PettingZoo
- OpenAI Multi-Agent Particle Environment
- Unity ML-Agents
- Ray RLlib
- Coach by Intel AI Lab
You may also like:
AI design agent automates workflow creating images, videos, 3D models up to 10x faster.
AI-driven chatbot for top OnlyFans creators.
Aixbt is a tokenized AI Agent optimizing revenue across applications.
theGist AI Workspace unifies work apps with AI for improved productivity.
Generate brand visuals and copy using AI to boost e-commerce sales.
GPTConsole is an AI agent designed for streamlined conversation and task automation.
GenSphere is an AI agent that automates data analysis and provides insights for informed decision-making.
Nullify automates the entire AppSec program for security teams using AI-driven solutions.
Flowith is a canvas-based agentic workspace which offers free 🍌Nano Banana Pro and other effective models...
Langbase is an AI agent that generates and analyzes natural language content efficiently.
AiTerm: AI Terminal Assistant converting natural language to commands.
Generate intriguing facts effortlessly with our AI-powered tool.
Automate your job applications and find the perfect job with AI technology.
Intellika AI enables seamless automation of data analysis and reporting for businesses.
ScholarRoll helps students find and apply for scholarships easily.
OneReach AI simplifies interactions by automating customer engagement through intelligent messaging.
Phoenix AI Assistant helps streamline tasks using intelligent automation and personalized support.
Refly.AI empowers non-technical creators to automate workflows using natural language and a visual canvas.
Letta is an AI agent that handles email responses efficiently and accurately.
Windsurf AI Agent helps optimize windsurfing conditions and gear recommendations.
Cody AI helps developers write, review, and understand code efficiently.
A solution for building customizable AI agents with LangChain on AWS Bedrock, leveraging foundation models and custom tools.
scenario-go is a Go SDK for defining complex LLM-driven conversational workflows, managing prompts, context, and multi-step AI tasks.
A ROS-based framework for multi-robot collaboration enabling autonomous task allocation, planning, and coordinated mission execution in teams.
An open-source visual IDE enabling AI engineers to build, test, and deploy agentic workflows 10x faster.
LangGraph Learn offers an interactive GUI to design and execute graph-based AI agent workflows, visualizing language model chains.
AIDE provides AI-powered code generation, debugging, documentation and package management within an integrated web IDE.
Clone, Design, and Create Expressive AI Voices in Seconds, with Perfect Sound Effects and Music.
A methodology offering twelve best practices to design, configure, and deploy scalable, maintainable AI Agents.
A Python framework for constructing multi-step reasoning pipelines and agent-like workflows with large language models.
SARL is an agent-oriented programming language and runtime providing event-driven behaviors and environment simulation for multi-agent systems.
AI Library is a developer platform for building and deploying customizable AI agents using modular chains and tools.
RModel is an open-source AI agent framework orchestrating LLMs, tool integration, and memory for advanced conversational and task-driven applications.
Provides a FastAPI backend for visual graph-based orchestration and execution of language model workflows in LangGraph GUI.
CodeBeaver is an AI agent that assists in coding and debugging tasks efficiently.
AveHR is an AI-driven human resources agent for streamlining HR tasks.
OpenSpiel provides a library of environments and algorithms for research in reinforcement learning and game theoretic planning.
An autonomous AI agent that writes, tests, and refactors code projects using LLMs with iterative test-driven development.
All-in-one AI video creation studio that turns any text and images into full videos up to 30 minutes.
Macaron is a personal AI agent that helps you live better by building mini-apps and remembering what matters.
AI agent that finds relevant research papers, summarizes findings, compares studies, and exports citations.
A ChatGPT plugin that ingests web pages and PDFs for interactive Q&A and document search via AI.
GetWebsite.Report offers comprehensive auditing and analysis of web pages for enhanced performance and SEO.
Refocus provides comprehensive online courses to help learners gain IT skills and secure jobs.
Effortlessly connect for backlink exchanges and boost your SEO with RankChase.
Qoder is an agentic coding platform for real software, Free to use the best model in preview.
Moody's Research Assistant offers insightful analysis and research capabilities for financial professionals.
An AI agent automating literature reviews, summarizing papers, and organizing research insights for academic workflows.
UserCue automates market research using AI-driven interviews, providing insights within hours.
Refly.AI empowers non-technical creators to automate workflows using natural language and a visual canvas.
GPT Researcher is an AI agent that accelerates literature reviews and research synthesis.
Skywork AI is an innovative tool to enhance productivity using AI.