Upload DQN MountainCar-v0 trained agent

DQN-MountainCar-v0.zip

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DQN-MountainCar-v0/_stable_baselines3_version

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+1.6.0

DQN-MountainCar-v0/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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+        "_build": "<function DQNPolicy._build at 0x7fa035c72290>",
+        "make_q_net": "<function DQNPolicy.make_q_net at 0x7fa035c72320>",
+        "forward": "<function DQNPolicy.forward at 0x7fa035c723b0>",
+        "_predict": "<function DQNPolicy._predict at 0x7fa035c72440>",
+        "_get_constructor_parameters": "<function DQNPolicy._get_constructor_parameters at 0x7fa035c724d0>",
+        "set_training_mode": "<function DQNPolicy.set_training_mode at 0x7fa035c72560>",
+        "__abstractmethods__": "frozenset()",
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+        "high": "[0.6  0.07]",
+        "bounded_below": "[ True  True]",
+        "bounded_above": "[ True  True]",
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+}

DQN-MountainCar-v0/policy.optimizer.pth

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+size 543599

DQN-MountainCar-v0/policy.pth

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+size 542721

DQN-MountainCar-v0/pytorch_variables.pth

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+size 431

DQN-MountainCar-v0/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: 1.12.0+cu113
+GPU Enabled: True
+Numpy: 1.21.6
+Gym: 0.21.0

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: -166.80 +/- 21.94
+      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": -166.8, "std_reward": 21.939917957914062, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-07-20T11:58:58.383681"}