Downloads · 30 days
0
ppo-lunarlander-unit8
rohithnathani/ppo-lunarlander-unit8
ppo-lunarlander-unit8 is a reinforcement learning model from rohithnathani. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product.
This repository contains a PPO agent trained from scratch using PyTorch.
Access
Public
Updated Sep 8, 2026
Repo size
280 KB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.mp4236 KB · 84%
At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Sep 8, 2026
- Updated
- Sep 8, 2026
- SHA
- 38f9e70f
Model card
From the Hugging Face model README
PPO LunarLander
This repository contains a PPO agent trained from scratch using PyTorch.
Environment
LunarLander-v2
Algorithm
Proximal Policy Optimization (PPO)
Framework
PyTorch
Training
- Total timesteps: 500,000
- Learning rate: 0.00025
- Number of environments: 8
- Rollout steps: 128
- Gamma: 0.99
- GAE lambda: 0.95
- PPO clip coefficient: 0.2
- Update epochs: 4
Evaluation
Mean reward: -44.60
Standard deviation: 19.27
Files
model.pt— trained PPO modelreplay.mp4— agent gameplay
- Task
- Reinforcement Learning
- Created
- Sep 8, 2026
- Updated
- Sep 8, 2026