← all repositories

learnsyslab/safe-control-gym

A PyBullet-based benchmark suite of CartPole and Quadrotor Gym environments for learning-based control and safe reinforcement learning in robotics.

887 stars Python Domain Apps
safe-control-gym
Velocity · 7d
+0.5
★ / day
Trend
steady
star history

Safe-control-gym provides physics-based simulation environments for CartPole and Quadrotor systems using PyBullet, with CasADi symbolic dynamics for model-based and model-free reinforcement learning. It includes symbolic safety constraints, parameter disturbances, and robustness evaluation capabilities. The suite is designed as a unified benchmark for safe learning-based control and RL research in robotics.

heatdrop uses Google Analytics to see which pages get read — nothing else. Your call. How we handle data.