SyntaxTheRed/dqn-SpaceInvadersNoFrameskip-v4

1---2library_name: stable-baselines33tags:4- SpaceInvadersNoFrameskip-v45- deep-reinforcement-learning6- reinforcement-learning7- stable-baselines38model-index:9- name: DQN10  results:11  - task:12      type: reinforcement-learning13      name: reinforcement-learning14    dataset:15      name: SpaceInvadersNoFrameskip-v416      type: SpaceInvadersNoFrameskip-v417    metrics:18    - type: mean_reward19      value: 495.50 +/- 139.3520      name: mean_reward21      verified: false22---23 24# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**25This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**26using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)27and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).28 29The RL Zoo is a training framework for Stable Baselines330reinforcement learning agents,31with hyperparameter optimization and pre-trained agents included.32 33## Usage (with SB3 RL Zoo)34 35RL Zoo: https://github.com/DLR-RM/rl-baselines3-zoo<br/>36SB3: https://github.com/DLR-RM/stable-baselines3<br/>37SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib38 39Install the RL Zoo (with SB3 and SB3-Contrib):40```bash41pip install rl_zoo342```43 44```45# Download model and save it into the logs/ folder46python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga SyntaxTheRed -f logs/47python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4  -f logs/48```49 50If you installed the RL Zoo3 via pip (`pip install rl_zoo3`), from anywhere you can do:51```52python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -orga SyntaxTheRed -f logs/53python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4  -f logs/54```55 56## Training (with the RL Zoo)57```58python -m rl_zoo3.train --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/59# Upload the model and generate video (when possible)60python -m rl_zoo3.push_to_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/ -orga SyntaxTheRed61```62 63## Hyperparameters64```python65OrderedDict([('batch_size', 32),66             ('buffer_size', 100000),67             ('env_wrapper',68              ['stable_baselines3.common.atari_wrappers.AtariWrapper']),69             ('exploration_final_eps', 0.01),70             ('exploration_fraction', 0.1),71             ('frame_stack', 4),72             ('gradient_steps', 1),73             ('learning_rate', 0.0001),74             ('learning_starts', 100000),75             ('n_timesteps', 1000000.0),76             ('optimize_memory_usage', False),77             ('policy', 'CnnPolicy'),78             ('target_update_interval', 1000),79             ('train_freq', 4),80             ('normalize', False)])81```82 83# Environment Arguments84```python85{'render_mode': 'rgb_array'}86```87