| 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 | |
|  | |