HMAS provides tools to design, train, and evaluate hierarchical multi-agent systems. It supports communication protocols, environment wrappers, and scalable policy learning for coordinated AI agents.
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HMAS
HMAS provides tools to design, train, and evaluate hierarchical multi-agent systems. It supports communication protocols, environment wrappers, and scalable policy learning for coordinated AI agents.
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What is HMAS?
HMAS is an open-source Python framework that enables development of hierarchical multi-agent systems. It offers abstractions for defining agent hierarchies, inter-agent communication protocols, environment integration, and built-in training loops. Researchers and developers can use HMAS to prototype complex multi-agent interactions, train coordinated policies, and evaluate performance in simulated environments. Its modular design makes it easy to extend and customize agents, environments, and training strategies.
Who will use HMAS?
- Multi-agent RL researchers
- AI developers
- Robotics engineers
- Academic institutions
How to use the HMAS?
- Step1: Install via pip install hmas
- Step2: Import HMAS modules in Python
- Step3: Define hierarchical agent classes and communication channels
- Step4: Configure environment wrappers and training parameters
- Step5: Run training loop with hmas.train()
- Step6: Evaluate trained policies with hmas.evaluate()
Platform
- Linux
- Mac
- Windows
HMAS's Core Features & Benefits
The Core Features
- Hierarchical agent architecture
- Inter-agent communication protocols
- Environment wrapper interfaces
- Built-in training and evaluation loops
- Modular extension support
The Benefits
- Modular and scalable agent design
- Streamlined policy training
- Easy environment integration
- Customizable communication patterns
- Rapid prototyping for multi-agent research
HMAS's Main Use Cases & Applications
- Coordinated control in swarm robotics
- Multi-agent reinforcement learning research
- Game AI with hierarchical team strategies
- Traffic flow optimization simulations
FAQs of HMAS
HMAS Company Information
- SoLeads.ai
HMAS Reviews
5/5
HMAS's Main Competitors and alternatives?
PettingZoo
Ray RLlib MultiAgent
OpenAI Multi-Agent Particle Environment
SMARTS
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