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mario-dqn-workshop
BLANK/mario-dqn-workshop
mario-dqn-workshop is a reinforcement learning model from BLANK. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as other.
Educational Super Mario Bros. World 1-1 Deep Q-Network (DQN) checkpoints for the SLM-RL Colab workshop.
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.chkpt27 MB · 100%
At a glance
- Task
- Reinforcement Learning
- Library
- pytorch
- License
- other
- Access
- Public
- Created
- Aug 29, 2026
- Updated
- Aug 29, 2026
- SHA
- 61d980af
Model card
From the Hugging Face model README
mario-dqn-workshop
Educational Super Mario Bros. World 1-1 Deep Q-Network (DQN) checkpoints for the SLM-RL Colab workshop.
These weights exist so a 15–20 minute live-training cell can start from a warm-start policy and so a final evaluation cell can show a stronger public policy. They are not a product, a Nintendo-approved model, or a replacement for the workshop’s Atari RAM-vector teacher.
Files
| File | Role |
|---|---|
warm-start.chkpt | Early World 1-1 play. Default starting point for live training. |
final.chkpt | Later World 1-1 play. Default public evaluation policy. |
config.json | Action map, frame stack, and preprocessing. |
checksums.json | SHA-256 pins for the checkpoint files. |
metrics.json | Recorded evaluation distances and rewards. |
A random / untrained baseline is generated locally. It is not stored here.
Environment
- Title: Super Mario Bros. World 1-1 (
SuperMarioBros-1-1-v0) - Observation: 4 stacked 84×84 grayscale frames
- Actions:
RIGHT,RIGHT+A - Encoder: Nature-style CNN
- Frame skip: 4
How the notebook uses this repo
The Colab cell MARIO_MODEL_REPO defaults to BLANK/mario-dqn-workshop and pins MARIO_MODEL_REVISION. Downloads are anonymous. A checksum mismatch or network failure falls back to the committed workshop clips.
Live training writes local-trained.chkpt on the Colab disk. Participant uploads stay off unless the participant supplies their own token.
Limitations
- A short workshop run does not equal full training.
- Super Mario Bros is owned by Nintendo. These weights are educational evidence only.
- The workshop’s production teacher remains the Atari RAM-vector MLP in
slm_rl.teachers.dqn.
- Task
- Reinforcement Learning
- Library
- pytorch
- License
- other
- Created
- Aug 29, 2026
- Updated
- Aug 29, 2026