Initial commit

A2C-SpaceInvadersNoFrameskip-v4.zip

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A2C-SpaceInvadersNoFrameskip-v4/_stable_baselines3_version

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+1.6.0

A2C-SpaceInvadersNoFrameskip-v4/policy.optimizer.pth

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A2C-SpaceInvadersNoFrameskip-v4/policy.pth

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A2C-SpaceInvadersNoFrameskip-v4/pytorch_variables.pth

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A2C-SpaceInvadersNoFrameskip-v4/system_info.txt

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+OS: Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Sun Apr 24 10:03:06 PDT 2022
+Python: 3.7.13
+Stable-Baselines3: 1.6.0
+PyTorch: 1.12.1+cu113
+GPU Enabled: True
+Numpy: 1.21.6
+Gym: 0.21.0

README.md

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+---
+library_name: stable-baselines3
+tags:
+- SpaceInvadersNoFrameskip-v4
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+model-index:
+- name: A2C
+  results:
+  - metrics:
+    - type: mean_reward
+      value: 10.00 +/- 10.25
+      name: mean_reward
+    task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: SpaceInvadersNoFrameskip-v4
+      type: SpaceInvadersNoFrameskip-v4
+---
+
+# **A2C** Agent playing **SpaceInvadersNoFrameskip-v4**
+This is a trained model of a **A2C** 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
+
+...
+```

results.json

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+{"mean_reward": 10.0, "std_reward": 10.246950765959598, "is_deterministic": false, "n_eval_episodes": 10, "eval_datetime": "2022-08-31T15:47:01.096068"}