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dqn-lunarlander-v3
Yeabebe/dqn-lunarlander-v3
dqn-lunarlander-v3 is a machine learning model from Yeabebe. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository contains a Deep Q-Network (DQN) agent trained on LunarLander-v3 using PyTorch.
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Public
Updated Feb 25, 2026
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At a glance
- Access
- Public
- Created
- Feb 25, 2026
- Updated
- Feb 25, 2026
- SHA
- dd756431
Model card
From the Hugging Face model README
DQN on LunarLander-v3
This repository contains a Deep Q-Network (DQN) agent trained on LunarLander-v3 using PyTorch.
Architecture
- 2 hidden layers (128 units each)
- ReLU activations
- Target Network
- Experience Replay
- Gradient Clipping
Hyperparameters
- Learning rate: 1e-3
- Gamma: 0.99
- Batch size: 64
- Replay buffer size: 100000
- Target update frequency: 10 episodes
Performance
Average Test Reward: ~260
The environment is considered solved when reward > 200.
- Created
- Feb 25, 2026
- Updated
- Feb 25, 2026