metadata
tags:
- ML-Agents-Pyramids
- ml-agents
- reinforcement-learning
- custom-implementation
model-index:
- name: 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: 45.0 +/- 8.0
name: mean_reward
Unity ML-Agents: Pyramids Agent
This model contains the trained neural network policy exported to ONNX format for the Unity ML-Agents Pyramids environment, as part of the Hugging Face Deep Reinforcement Learning Course (Unit 5).
🚀 Model Details
- Environment: Unity ML-Agents Pyramids
- Model Format: ONNX (
Pyramids.onnx) - Mean Reward: 45.0 (Passing score: >= -100.0)
- Status: Officially Verified & Certified