pushing model

README.md

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+---
+tags:
+- BreakoutNoFrameskip-v4
+- deep-reinforcement-learning
+- reinforcement-learning
+- custom-implementation
+model-index:
+- name: DQN
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: BreakoutNoFrameskip-v4
+      type: BreakoutNoFrameskip-v4
+    metrics:
+    - type: mean_reward
+      value: 2.70 +/- 4.12
+      name: mean_reward
+      verified: false
+---
+
+# (CleanRL) **DQN** Agent Playing **BreakoutNoFrameskip-v4**
+
+This is a trained model of a DQN agent playing BreakoutNoFrameskip-v4.
+The model was trained by using [CleanRL](https://github.com/vwxyzjn/cleanrl) and the training code can be
+found [here](https://github.com/vwxyzjn/cleanrl/blob/master/cleanrl/dqn_atari.py).
+
+
+# Hyperparameters
+```python
+{'batch_size': 32,
+ 'buffer_size': 1000000,
+ 'capture_video': False,
+ 'cuda': True,
+ 'end_e': 0.01,
+ 'env_id': 'BreakoutNoFrameskip-v4',
+ 'exp_name': 'dqn_atari',
+ 'exploration_fraction': 0.1,
+ 'gamma': 0.99,
+ 'hf_entity': '',
+ 'learning_rate': 0.0001,
+ 'learning_starts': 80000,
+ 'save_model': True,
+ 'seed': 1,
+ 'start_e': 1,
+ 'target_network_frequency': 1000,
+ 'torch_deterministic': True,
+ 'total_timesteps': 10000,
+ 'track': False,
+ 'train_frequency': 4,
+ 'upload_model': True,
+ 'wandb_entity': None,
+ 'wandb_project_name': 'cleanRL'}
+```
+    

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q_network.pth

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