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Reinforce-Pixelcopter-PLE-v0
herurg/Reinforce-Pixelcopter-PLE-v0
Reinforce-Pixelcopter-PLE-v0 is a reinforcement learning model from herurg. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product.
This is a trained REINFORCE agent for Pixelcopter-PLE-v0, created for Unit 4 of the Hugging Face Deep Reinforcement Learning Course.
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Public
Updated Aug 23, 2026
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At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Aug 23, 2026
- Updated
- Aug 23, 2026
- SHA
- 0b83e679
Model card
From the Hugging Face model README
REINFORCE Agent playing Pixelcopter-PLE-v0
This is a trained REINFORCE agent for Pixelcopter-PLE-v0, created for Unit 4 of the Hugging Face Deep Reinforcement Learning Course.
Evaluation
- Training episodes: 30000
- Evaluation episodes: 10
- Mean reward: 42.30
- Standard deviation: 20.96
- Course result (
mean_reward - std_reward): 21.34 - Required Unit 4 threshold: 5
Hyperparameters
- Hidden layers: 64 → 128
- Gamma: 0.99
- Learning rate: 1e-4
- Max timesteps per episode: 10000
- Algorithm: REINFORCE / Monte Carlo Policy Gradient
The environment was run using a Gymnasium-compatible adaptation of the original Unit 4 notebook.
- Task
- Reinforcement Learning
- Created
- Aug 23, 2026
- Updated
- Aug 23, 2026