A pure-Python MPPI controller repo small enough to actually read
lukas_m_ziegler · x · 2026-09-20
lukasmziegler shares a pure-Python implementation of MPPI (Model Predictive Path Integral) control, a good entry point for those citing it in off-road autonomy or agile driving work.
- How it works: sample a few thousand noisy control sequences per timestep, roll them through a system model, score with a cost function, and take an exponentially weighted average as the next control
- Why it's interesting: no gradients needed (dynamics need not be differentiable, cost can be arbitrarily ugly), no convexity assumption (handles non-convex problems that trip classical MPC), and embarrassingly parallel — which is why it took off once GPUs made real-time trajectory rollout cheap
- The repo is lightweight with scripts and readable code
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