---
license: mit
task_categories:
  - reinforcement-learning
tags:
  - gymnasium
  - lunar-lander
  - imitation-learning
  - embeddings
  - mobilenet-v3
---

# Mind Games — Features

Pre-computed visual features for the [mind-games](https://github.com/kvark/mind-games) project.

## Lunar Lander (MobileNetV3-Small)

200 episodes of MobileNetV3-Small embeddings extracted from LunarLander-v3 gameplay frames.

- **Backbone**: MobileNetV3-Small (ImageNet pretrained, frozen)
- **Embedding dim**: 576 (global average pooled)
- **Precision**: float16
- **Size**: ~108MB
- **Structure**: `lunar_lander/episode_NNNN/` with `embeddings.npy` (N×576) and `actions.npy` (N,)
- **Index**: `lunar_lander/index.json` with per-episode reward and step count

These embeddings enable fast CPU-only training (~4s/epoch vs ~67s end-to-end).