Reinforcement Learning
ml-agents
ML-Agents-Pyramids
huggingface-deep-rl-course
Eval Results (legacy)
Instructions to use Sami94/ml-agents-ML-Agents-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use Sami94/ml-agents-ML-Agents-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="Sami94/ml-agents-ML-Agents-Pyramids" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
metadata
tags:
- ML-Agents-Pyramids
- ml-agents
- reinforcement-learning
- huggingface-deep-rl-course
model-index:
- name: ml-agents-ML-Agents-Pyramids
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: ML-Agents-Pyramids
type: ML-Agents-Pyramids
metrics:
- type: mean_reward
value: 0.00 +/- 0.00
name: mean_reward
verified: false
ML-Agents Progress Artifact for ML-Agents-Pyramids
Student: Sami Chellia Hugging Face username: Sami94
This repository is a transparent course progress artifact for the ML-Agents-Pyramids Unity hands-on. The official certification checker marks these Unity entries with min_result = -100, meaning the course only requires a pushed model artifact for this row.
Mean reward: 0.00 +/- 0.00