geek-ai/MAgent

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1762 stars · 334 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

MAgent is a research platform for many-agent reinforcement learning, supporting environments that scale from hundreds to millions of agents in gridworld settings like pursuit, gathering, and battle. It includes baseline algorithms (DQN, DRQN, A2C) implemented in TensorFlow and MXNet.

Use cases

• simulate multi-agent reinforcement learning with millions of agents
• train agents in pursuit, gathering, or battle gridworld environments
• research emergent collective behavior in large agent populations
• benchmark multi-agent RL algorithms like DQN and A2C
• run an interactive battle game against trained agents

When to choose

• you need a many-agent RL environment scaling to very large agent counts
• you want gridworld multi-agent benchmarks with baseline implementations
• you are reproducing research from the AAAI 2018 MAgent paper

When to avoid

• you need maintained software - use the Farama-Foundation/MAgent2 fork instead
• you need Windows support or pip installation
• you work with continuous action spaces rather than gridworld settings

Facets

library · maturity abandoned

reinforcement-learning simulation machine-learning reinforcement-learning artificial-intelligence simulation python multi-agent gridworld deep-learning research-platform unmaintained linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="geek-ai/MAgent")