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tags:
- ml-agents
- ML-Agents-Pyramids
- reinforcement-learning
- unity-ml-agents
library_name: ml-agents
model-index:
- name: ppo-Pyramids
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: ML-Agents-Pyramids
type: ML-Agents-Pyramids
metrics:
- type: mean_reward
value: 2.0 +/- 0.1
name: mean_reward
verified: false
---
# **PPO** Agent playing **ML-Agents-Pyramids**
This is a trained model of a **PPO** agent playing **ML-Agents-Pyramids** using Unity ML-Agents for Unit 5 of the Hugging Face Deep RL Course.
## Evaluation Results
- **Mean Reward**: 2.0 +/- 0.1
- **Score (Mean - Std)**: 1.9 (Requirement: >= -100.0)
## Usage
This ONNX model can be used inside Unity or with ML-Agents inference.
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