DQN first approach.

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DQN-mountaincar-first-approach.zip +3 -0
DQN-mountaincar-first-approach/_stable_baselines3_version +1 -0
DQN-mountaincar-first-approach/data +125 -0
DQN-mountaincar-first-approach/policy.optimizer.pth +3 -0
DQN-mountaincar-first-approach/policy.pth +3 -0
DQN-mountaincar-first-approach/pytorch_variables.pth +3 -0
DQN-mountaincar-first-approach/system_info.txt +7 -0
README.md +36 -0
config.json +1 -0
results.json +1 -0

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DQN-mountaincar-first-approach/data ADDED Viewed

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+        "__module__": "stable_baselines3.dqn.policies",
+        "__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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+        "make_q_net": "<function DQNPolicy.make_q_net at 0x7fd583da17b8>",
+        "forward": "<function DQNPolicy.forward at 0x7fd583da1840>",
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+        "__abstractmethods__": "frozenset()",
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+        "_abc_negative_cache_version": 59
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+}

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DQN-mountaincar-first-approach/system_info.txt ADDED Viewed

	@@ -0,0 +1,7 @@

+OS: Linux-4.15.0-180-generic-x86_64-with-Ubuntu-18.04-bionic #189-Ubuntu SMP Wed May 18 14:13:57 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 ADDED Viewed

	@@ -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: -125.80 +/- 49.79
+      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
+...
+```

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results.json ADDED Viewed

	@@ -0,0 +1 @@


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