Initial commit

README.md

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+---
+library_name: stable-baselines3
+tags:
+- SpaceInvadersNoFrameskip-v4
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+model-index:
+- name: DQN
+  results:
+  - metrics:
+    - type: mean_reward
+      value: 450.00 +/- 142.34
+      name: mean_reward
+    task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: SpaceInvadersNoFrameskip-v4
+      type: SpaceInvadersNoFrameskip-v4
+---
+
+# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
+This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
+using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
+
+## Usage (with Stable-baselines3)
+TODO: Add your code
+
+
+```python
+from stable_baselines3 import ...
+from huggingface_sb3 import load_from_hub
+
+...
+```

dqn1-SpaceInvadersNoFrameskip-v4.zip

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dqn1-SpaceInvadersNoFrameskip-v4/_stable_baselines3_version

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+1.6.0

dqn1-SpaceInvadersNoFrameskip-v4/policy.optimizer.pth

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dqn1-SpaceInvadersNoFrameskip-v4/policy.pth

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dqn1-SpaceInvadersNoFrameskip-v4/pytorch_variables.pth

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dqn1-SpaceInvadersNoFrameskip-v4/system_info.txt

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+OS: Linux-5.4.0-113-generic-x86_64-with-debian-buster-sid #127-Ubuntu SMP Wed May 18 14:30:56 UTC 2022
+Python: 3.7.13
+Stable-Baselines3: 1.6.0
+PyTorch: 1.12.0
+GPU Enabled: True
+Numpy: 1.21.5
+Gym: 0.21.0

results.json

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+{"mean_reward": 450.0, "std_reward": 142.33762678926468, "is_deterministic": false, "n_eval_episodes": 10, "eval_datetime": "2022-07-20T14:52:36.680963"}