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README.md

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+---
+library_name: stable-baselines3
+tags:
+- EnduroNoFrameskip-v4
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+model-index:
+- name: DQN
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: EnduroNoFrameskip-v4
+      type: EnduroNoFrameskip-v4
+    metrics:
+    - type: mean_reward
+      value: 3.20 +/- 5.58
+      name: mean_reward
+      verified: false
+---
+
+# **DQN** Agent playing **EnduroNoFrameskip-v4**
+This is a trained model of a **DQN** agent playing **EnduroNoFrameskip-v4**
+using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
+and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
+
+The RL Zoo is a training framework for Stable Baselines3
+reinforcement learning agents,
+with hyperparameter optimization and pre-trained agents included.
+
+## Usage (with SB3 RL Zoo)
+
+RL Zoo: https://github.com/DLR-RM/rl-baselines3-zoo<br/>
+SB3: https://github.com/DLR-RM/stable-baselines3<br/>
+SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
+SBX (SB3 + Jax): https://github.com/araffin/sbx
+
+Install the RL Zoo (with SB3 and SB3-Contrib):
+```bash
+pip install rl_zoo3
+```
+
+```
+# Download model and save it into the logs/ folder
+python -m rl_zoo3.load_from_hub --algo dqn --env EnduroNoFrameskip-v4 -orga Bishdata -f logs/
+python -m rl_zoo3.enjoy --algo dqn --env EnduroNoFrameskip-v4  -f logs/
+```
+
+If you installed the RL Zoo3 via pip (`pip install rl_zoo3`), from anywhere you can do:
+```
+python -m rl_zoo3.load_from_hub --algo dqn --env EnduroNoFrameskip-v4 -orga Bishdata -f logs/
+python -m rl_zoo3.enjoy --algo dqn --env EnduroNoFrameskip-v4  -f logs/
+```
+
+## Training (with the RL Zoo)
+```
+python -m rl_zoo3.train --algo dqn --env EnduroNoFrameskip-v4 -f logs/
+# Upload the model and generate video (when possible)
+python -m rl_zoo3.push_to_hub --algo dqn --env EnduroNoFrameskip-v4 -f logs/ -orga Bishdata
+```
+
+## Hyperparameters
+```python
+OrderedDict([('batch_size', 100),
+             ('buffer_size', 100000),
+             ('env_wrapper',
+              ['stable_baselines3.common.atari_wrappers.AtariWrapper']),
+             ('exploration_final_eps', 0.13071780683854003),
+             ('exploration_fraction', 0.4477029703130554),
+             ('frame_stack', 4),
+             ('gamma', 0.9),
+             ('gradient_steps', 1),
+             ('learning_rate', 0.00011447658254850165),
+             ('learning_starts', 20000),
+             ('n_timesteps', 100000.0),
+             ('optimize_memory_usage', False),
+             ('policy', 'CnnPolicy'),
+             ('target_update_interval', 1000),
+             ('train_freq', 8),
+             ('normalize', False)])
+```
+
+# Environment Arguments
+```python
+{'render_mode': 'rgb_array'}
+```

dqn-EnduroNoFrameskip-v4.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d44b6a3c0804937805ea83310dc3b71aa95fab352e10a709ec3f5a575d0b31a0
+size 27242497

results.json

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+{"mean_reward": 3.2, "std_reward": 5.582114294781146, "is_deterministic": false, "n_eval_episodes": 10, "eval_datetime": "2024-12-08T11:17:37.917661"}