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
Architecture
Params: 8×64 + 64 + 64×4 + 4 = 836
Usage
Training
Distilled from PPO (stable-baselines3) via supervised learning on 500 expert episodes.
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