---
tags:
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
- atari
- space-invaders
model-index:
- name: dqn-SpaceInvadersNoFrameskip-v4
  results:
  - task:
      type: reinforcement-learning
    dataset:
      type: SpaceInvadersNoFrameskip-v4
      name: Space Invaders (Atari)
    metrics:
    - type: mean_reward
      value: 1175.00 +/ 215.89
      name: mean_reward
---

# DQN playing Space Invaders

Trained with **Deep Q-Learning (DQN)** using stable-baselines3.

## Training
- Algorithm: DQN
- Environment: SpaceInvadersNoFrameskip-v4 (Atari)
- Timesteps: 10,000,000
- Environments: 8 parallel
- Batch size: 256
- GPU: Quadro RTX 5000 (16GB)
- Training time: ~5.5 hours

## Results
- **Final evaluation reward: 1175 +/ 216**
- **Certification score: 959** (threshold: 200)

## Replay

![Replay](replay.mp4)