Retrain DQN model for MountainCar-v0 v0

.gitattributes

@@ -25,3 +25,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.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

DQN-MountainCar-v0.zip

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DQN-MountainCar-v0/_stable_baselines3_version

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+1.5.0

DQN-MountainCar-v0/data

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+    }
+}

DQN-MountainCar-v0/policy.optimizer.pth

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+size 541953

DQN-MountainCar-v0/policy.pth

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DQN-MountainCar-v0/pytorch_variables.pth

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DQN-MountainCar-v0/system_info.txt

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+OS: Linux-5.10.107+-x86_64-with-debian-bullseye-sid #1 SMP Sun Apr 24 15:04:08 UTC 2022
+Python: 3.7.12
+Stable-Baselines3: 1.5.0
+PyTorch: 1.9.1
+GPU Enabled: True
+Numpy: 1.21.6
+Gym: 0.21.0

README.md

@@ -0,0 +1,28 @@
+---
+library_name: stable-baselines3
+tags:
+- MountainCar-v0
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+model-index:
+- name: DQN
+  results:
+  - metrics:
+    - type: mean_reward
+      value: -101.90 +/- 12.00
+      name: mean_reward
+    task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: MountainCar-v0
+      type: MountainCar-v0
+---
+
+  # **DQN** Agent playing **MountainCar-v0**
+  This is a trained model of a **DQN** agent playing **MountainCar-v0** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
+  
+  ## Usage (with Stable-baselines3)
+  TODO: Add your code
+  

config.json

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replay.mp4

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5ec17c00c3977919e8f85d88e47c6aa587c0faf7c27b0cc91ba0be6abd5176c4
+size 253163

results.json

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+{"mean_reward": -101.9, "std_reward": 11.995415791042843, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-05-11T18:31:50.148879"}