ProjectFeatured
Safety-Gymnasium
Safe RL environments maintained under Farama — successor path for Safety-Gym style tasks.
ProjectFeaturedIntermediate
safe-control-gym
Safety-focused control/RL benchmarks (cartpole, quadrotor, etc.) with constraint evaluation.
Why: Clean constrained-control benchmark suite
Overview
safe-control-gym is a curated project on Embodied AI Hub.
Safety-focused control/RL benchmarks (cartpole, quadrotor, etc.) with constraint evaluation.
Why it matters: Clean constrained-control benchmark suite
Always verify install pins, licenses, and hardware requirements on the official site before production use.
Who it is for
Builders mapping open embodied stacks; researchers comparing SOTA baselines.
Key highlights
- Safety-focused control/RL benchmarks (cartpole, quadrotor, etc.) with constraint evaluation.
- Type: project; tags: 安全, 基准, 控制, 开源
- Hub recommended
When to use
- You need this category of open resource in your stack map
- You are shortlisting baselines before deep evaluation
When not to use
- License or hardware constraints block adoption
- You only need a closed commercial stack with vendor SLA
Getting started
- 1Open the official URL and read the README / model card.
- 2Check license and citation requirements.
- 3Run the smallest official example before scaling.
- 4Cross-link related hub resources for a full pipeline.
Papers & reading
Caveats & pitfalls
- Hub cards are curated summaries — verify upstream docs.
- Stars and release names drift; treat metadata as approximate.
Content reviewed 2026-07-28