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library_name: ml-agents
tags:
- ML-Agents-Pyramids
- ppo
- ml-agents
- reinforcement-learning
- deep-rl-course
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: "1.85 +/- 0.15"
name: mean_reward
---
# ppo-Pyramids
This is a trained model of a **PPO** agent playing **ML-Agents-Pyramids**.
This model was trained as part of the **Hugging Face Deep Reinforcement Learning Course**.
## Evaluation Results
- **Environment**: `ML-Agents-Pyramids`
- **Algorithm**: `PPO`
- **Library**: `ml-agents`
- **Mean Reward**: `1.85 +/- 0.15`
## Usage
To evaluate this model locally or play with it, download the model files from this repository.
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