Downloads · 30 days
0
Pixelcopter-REINFORCE
johith9381/Pixelcopter-REINFORCE
Pixelcopter-REINFORCE is a reinforcement learning model from johith9381. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product.
A REINFORCE policy trained using PyTorch on the Pixelcopter-PLE-v0 environment.
Access
Public
Updated Sep 3, 2026
Repo size
39.5 KB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pth39.5 KB · 93%
At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Sep 3, 2026
- Updated
- Sep 3, 2026
- SHA
- 116ef217
Model card
From the Hugging Face model README
PixelCopter REINFORCE
A REINFORCE policy trained using PyTorch on the Pixelcopter-PLE-v0 environment.
Model Details
- Algorithm: REINFORCE
- Environment: Pixelcopter-PLE-v0
- Framework: PyTorch
- Device: CPU
- Observation Space: 7
- Action Space: 2
Training
- Training Episodes: 15,000
- Hidden Size: 64
- Learning Rate: 0.0001
- Gamma: 0.99
- Maximum Steps: 2,000
Evaluation
- Mean Reward: 17.3
- Standard Deviation: 9.40
- Result (Mean - Std): 7.90
Required certification threshold: 5.0
Files
pixelcopter_policy.pth— trained PyTorch policypixelcopter_hyperparameters.json— training hyperparameters
- Task
- Reinforcement Learning
- Languages
- en
- Created
- Sep 3, 2026
- Updated
- Sep 3, 2026