microRTS
A simple, deterministic real-time strategy game environment designed for AI and reinforcement learning research.
What is microRTS?
microRTS is a small, efficient real-time strategy game environment built for AI and reinforcement learning research. It provides a simplified, deterministic platform to test algorithms like minimax and Monte Carlo Tree Search, allowing researchers to experiment with theoretical ideas before applying them to complex commercial games.
AI researchers and academics focusing on reinforcement learning, game theory, and real-time strategy AI, particularly those needing a lightweight, configurable testbed.
Developers choose microRTS for its simplicity, deterministic nature, and built-in AI tools, which enable faster iteration and experimentation compared to heavier alternatives like StarCraft with BWAPI.
Overview
A simple and highly efficient RTS-game-inspired environment for reinforcement learning
Use Cases
Best For
- Testing reinforcement learning algorithms in a real-time strategy context
- Experimenting with game-tree search techniques like minimax and MCTS
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