DQN trained with rl-baselines3-zoo.

.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-zoo.zip

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DQN-mountaincar-zoo/_stable_baselines3_version

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DQN-mountaincar-zoo/data

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+        "__doc__": "\n    Policy class with Q-Value Net and target net for DQN\n\n    :param observation_space: Observation space\n    :param action_space: Action space\n    :param lr_schedule: Learning rate schedule (could be constant)\n    :param net_arch: The specification of the policy and value networks.\n    :param activation_fn: Activation function\n    :param features_extractor_class: Features extractor to use.\n    :param features_extractor_kwargs: Keyword arguments\n        to pass to the features extractor.\n    :param normalize_images: Whether to normalize images or not,\n         dividing by 255.0 (True by default)\n    :param optimizer_class: The optimizer to use,\n        ``th.optim.Adam`` by default\n    :param optimizer_kwargs: Additional keyword arguments,\n        excluding the learning rate, to pass to the optimizer\n    ",
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+}

DQN-mountaincar-zoo/policy.optimizer.pth

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+size 541953

DQN-mountaincar-zoo/policy.pth

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+size 542721

DQN-mountaincar-zoo/pytorch_variables.pth

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+size 431

DQN-mountaincar-zoo/system_info.txt

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+OS: Linux-4.15.0-184-generic-x86_64-with-Ubuntu-18.04-bionic #194-Ubuntu SMP Thu Jun 2 18:54:48 UTC 2022
+Python: 3.6.9
+Stable-Baselines3: 1.3.0
+PyTorch: 1.10.2+cu102
+GPU Enabled: True
+Numpy: 1.19.5
+Gym: 0.19.0

README.md

@@ -0,0 +1,36 @@
+---
+library_name: stable-baselines3
+tags:
+- MountainCar-v0
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+model-index:
+- name: DQN
+  results:
+  - metrics:
+    - type: mean_reward
+      value: -98.80 +/- 21.88
+      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
+
+
+```python
+from stable_baselines3 import ...
+from huggingface_sb3 import load_from_hub
+
+...
+```

config.json

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results.json

@@ -0,0 +1 @@
+{"mean_reward": -98.8, "std_reward": 21.876014262200506, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-06-11T20:38:26.547496"}