---
license: mit
language: en
tags:
- reinforcement-learning
- lunar-lander
- tiny-model
- 836-params
pipeline_tag: reinforcement-learning
---

# LunarLander — 836 params, 100% landings, 0% crashes

A tiny neural network (836 params) that **perfectly solves** LunarLander-v2.
**48× smaller than PPO** (40K params).

## Performance

| Metric | Value |
|--------|-------|
| Avg reward | **257.7** |
| Full landings | **100/100 (100%)** |
| Crashes | **0/100 (0%)** |
| Params | 836 |
| Training data | 500 episodes (154K samples) |
| Training epochs | 100 |

## Demo

<video src="https://huggingface.co/Dimitrius174/lunar-lander-836-params/resolve/main/videos/lunar_lander_v2_all.mp4" controls width="600"></video>

## Architecture



Params: 8×64 + 64 + 64×4 + 4 = **836**

## Usage



## Training

Distilled from PPO (stable-baselines3) via supervised learning on 500 expert episodes.