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.gitattributes

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README.md

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+
+---
+      tags:
+      - SpaceInvadersNoFrameskip-v4
+      - deep-reinforcement-learning
+      - reinforcement-learning
+      - stable-baselines3
+---
+    
+  # **PPO** Agent playing **SpaceInvadersNoFrameskip-v4**
+  This is a trained model of a **PPO** agent playing **SpaceInvadersNoFrameskip-v4** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
+
+  ## Evaluation Results
+  
+  mean_reward=960.00 +/- 483.4252786108728
+  
+  ## Usage (with Stable-baselines3)
+
+  TODO: Add your code
+  

ppo-SpaceInvadersNoFrameskip-v4.zip

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ppo-SpaceInvadersNoFrameskip-v4/_stable_baselines3_version

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+1.4.0

ppo-SpaceInvadersNoFrameskip-v4/policy.optimizer.pth

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ppo-SpaceInvadersNoFrameskip-v4/policy.pth

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ppo-SpaceInvadersNoFrameskip-v4/pytorch_variables.pth

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ppo-SpaceInvadersNoFrameskip-v4/system_info.txt

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+OS: Linux-5.13.0-39-generic-x86_64-with-glibc2.17 #44~20.04.1-Ubuntu SMP Thu Mar 24 16:43:35 UTC 2022
+Python: 3.8.13
+Stable-Baselines3: 1.4.0
+PyTorch: 1.11.0+cu102
+GPU Enabled: True
+Numpy: 1.22.1
+Gym: 0.19.0

replay.mp4

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results.json

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+{"mean_reward": 960.0, "std_reward": 483.4252786108728, "is_deterministic": false, "n_eval_episodes": 10}