Gymnasium-Robotics is a collection of robotics simulation environments for Reinforcement Learning
This library contains a collection of Reinforcement Learning robotic environments that use the Gymansium API. The environments run with the MuJoCo physics engine and the maintained mujoco python bindings.
The creation and interaction with the robotic environments follow the Gymnasium interface:
import gymnasium as gym env = gym.make("FetchPickAndPlace-v2", render_mode="human") observation, info = env.reset(seed=42) for _ in range(1000): action = policy(observation) # User-defined policy function observation, reward, terminated, truncated, info = env.step(action) if terminated or truncated: observation, info = env.reset() env.close()