README.md

metadata

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 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).