small modular simulation environments
Project description
TinySim
The goal of this project is to create more minimal simulation environments for robotics and machine learning.
Existing solutions like ROS 2 and Gymnasium come with many heavy dependencies.
Additionally they are usually difficult to get setup and may require domain specific knowledge to use. Simulation environments should be able to run in any notebook environment and require fewer dependencies.
Get Started 🚀
To use the baseline Python only simulation environments.
pip install tinysim
| MountainCarEnv | TopDownDrivingEnv |
|---|---|
| FroggerEnv | FlappyEnv |
|---|---|
To use the warp simulation environments.
pip install tinysim[warp]
| CartPoleBaseEnv | SimpleRobotDogBaseEnv |
|---|---|
To use the mujoco simulation environments.
pip install tinysim[mujoco]
| UnitreeA1WalkEnv |
|---|
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