Reinforcement Learning
Transformers
JAX
dreamer
quine
dreamerv3
neuroevolution
glass-box-ai
world-model
rssm
cascade-lattice
Instructions to use tostido/Champion-Dreamer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tostido/Champion-Dreamer with Transformers:
# Load model directly from transformers import DreamerV3 model = DreamerV3.from_pretrained("tostido/Champion-Dreamer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| """Quick module-level test without loading brain.""" | |
| import sys | |
| import os | |
| sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))) | |
| import champion_gen42 as champ | |
| print('=== MODULE LEVEL (no brain load) ===') | |
| print(f'Quine hash: {champ.get_quine_hash()}') | |
| print(f'Verify integrity: {champ.verify_quine_integrity()}') | |
| print(f'Action manifest: {champ.get_action_manifest()}') | |
| # Get brain directly | |
| print('\n=== GET QUINE BRAIN ===') | |
| brain = champ.get_quine_brain() | |
| print(f'Brain type: {type(brain).__name__}') | |
| print(f'Brain methods: {[m for m in dir(brain) if not m.startswith("_")]}') | |