RL Environments Platform
Create, share, and evaluate reinforcement learning environments
Create
Build custom reinforcement learning environments with a simple Python API. Define observations, actions, and reward functions.
Share
Publish your environments to a public collection. Let other researchers and developers discover and use your work.
Evaluate
Run agents against environments and track performance on the leaderboard. Compare models head-to-head.