Downloads · 30 days
0
LATlag/Reinforce-Pixelcopter-PLE-v0
Reinforce-Pixelcopter-PLE-v0 is a reinforcement learning model from LATlag. 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 model of a REINFORCE (Monte Carlo Policy Gradient) agent playing Pixelcopter-PLE-v0, implemented from scratch with PyTorch, as part of the Hugging Face Deep RL Course, Unit 4.
Downloads · 30 days
0
Access
Public
Updated Aug 3, 2026
Repo size
181 KB
Likes
0
Public
Click a slice to open those files.
.pt39 KB · 49%
From the Hugging Face model README
This is a trained model of a REINFORCE (Monte Carlo Policy Gradient) agent playing Pixelcopter-PLE-v0, implemented from scratch with PyTorch, as part of the Hugging Face Deep RL Course, Unit 4.
Mean reward over 10 evaluation episodes: 46.40 +/- 37.34
h_size: 64
n_training_episodes: 42000
n_evaluation_episodes: 10
max_t: 3000
gamma: 0.99
lr: 0.0001
env_id: Pixelcopter-PLE-v0