https://openra-rl.dev/zh/blog OpenRA-RL Blog 2026-02-19T00:00:00.000Z https://github.com/jpmonette/feed OpenRA-RL Blog https://openra-rl.dev/zh/img/favicon.svg <![CDATA[Welcome to OpenRA-RL]]> https://openra-rl.dev/zh/blog/welcome 2026-02-19T00:00:00.000Z OpenRA-RL is now live! We're building a Gymnasium-style reinforcement learning environment for the OpenRA real-time strategy engine.

What is OpenRA-RL?​

OpenRA-RL lets you train AI agents that play full games of Red Alert through the OpenRA engine. The environment provides:

  • Rich observations: 9-channel spatial tensor, per-unit stats, economy and military data
  • 21 action types: Move, attack, build, train, guard, transport, and more
  • Real-time bridge: gRPC connection running at ~25 ticks/second
  • Multiple agent types: Scripted bots, LLM agents, and RL policies

Getting Started​

Check out the Getting Started guide to set up your first agent, or explore the Architecture docs to understand how everything connects.

OpenRA-Bench​

We're building OpenRA-Bench — a community leaderboard for comparing agent performance with verified replay data. Stay tuned for the launch.

]]> OpenRA-RL Team https://github.com/yxc20089/OpenRA-RL