first commit

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.mp4 filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+library_name: stable-baselines3
+tags:
+- ALE/SpaceInvaders-v5
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+model-index:
+- name: PPO
+  results:
+  - metrics:
+    - type: mean_reward
+      value: 146.00 +/- 78.54
+      name: mean_reward
+    task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: ALE/SpaceInvaders-v5
+      type: ALE/SpaceInvaders-v5
+---
+
+  # **PPO** Agent playing **ALE/SpaceInvaders-v5**
+  This is a trained model of a **PPO** agent playing **ALE/SpaceInvaders-v5** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
+  
+  ## Usage (with Stable-baselines3)
+  TODO: Add your code
+  

ppo-ALE/SpaceInvaders-v5-v5.zip

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+size 140477539

ppo-ALE/SpaceInvaders-v5-v5/_stable_baselines3_version

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+1.5.0

ppo-ALE/SpaceInvaders-v5-v5/policy.optimizer.pth

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ppo-ALE/SpaceInvaders-v5-v5/policy.pth

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ppo-ALE/SpaceInvaders-v5-v5/pytorch_variables.pth

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ppo-ALE/SpaceInvaders-v5-v5/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: 1.5.0
+PyTorch: 1.11.0+cu113
+GPU Enabled: True
+Numpy: 1.21.6
+Gym: 0.21.0

replay.mp4

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results.json

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+{"mean_reward": 146.0, "std_reward": 78.54298186343577, "is_deterministic": false, "n_eval_episodes": 10, "eval_datetime": "2022-05-17T04:49:49.859442"}