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DQN-FlappyBird-v0.zip

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DQN-FlappyBird-v0/_stable_baselines3_version

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+2.3.2

DQN-FlappyBird-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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+    "tau": 1.0,
+    "gamma": 0.99,
+    "gradient_steps": 1,
+    "optimize_memory_usage": false,
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+    }
+}

DQN-FlappyBird-v0/policy.optimizer.pth

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+size 132256

DQN-FlappyBird-v0/policy.pth

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+size 131378

DQN-FlappyBird-v0/pytorch_variables.pth

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+version https://git-lfs.github.com/spec/v1
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+size 864

DQN-FlappyBird-v0/system_info.txt

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+- OS: Linux-6.5.0-41-generic-x86_64-with-glibc2.35 # 41~22.04.2-Ubuntu SMP PREEMPT_DYNAMIC Mon Jun  3 11:32:55 UTC 2
+- Python: 3.9.19
+- Stable-Baselines3: 2.3.2
+- PyTorch: 2.4.0+cpu
+- GPU Enabled: False
+- Numpy: 1.26.4
+- Cloudpickle: 3.0.0
+- Gymnasium: 0.29.1
+- OpenAI Gym: 0.26.2

README.md

@@ -0,0 +1,37 @@
+---
+library_name: stable-baselines3
+tags:
+- FlappyBird-v0
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+model-index:
+- name: DQN
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: FlappyBird-v0
+      type: FlappyBird-v0
+    metrics:
+    - type: mean_reward
+      value: 2.07 +/- 0.47
+      name: mean_reward
+      verified: false
+---
+
+# **DQN** Agent playing **FlappyBird-v0**
+This is a trained model of a **DQN** agent playing **FlappyBird-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": 2.0700000897049904, "std_reward": 0.473391992559882, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-07-26T17:58:02.248100"}