Upload DQN MountainCar-v0 trained agent
Browse files- README.md +37 -0
- config.json +1 -0
- dqn-MountainCar-v0.zip +3 -0
- dqn-MountainCar-v0/_stable_baselines3_version +1 -0
- dqn-MountainCar-v0/data +121 -0
- dqn-MountainCar-v0/policy.optimizer.pth +3 -0
- dqn-MountainCar-v0/policy.pth +3 -0
- dqn-MountainCar-v0/pytorch_variables.pth +3 -0
- dqn-MountainCar-v0/system_info.txt +9 -0
- replay.mp4 +0 -0
- results.json +1 -0
README.md
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---
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library_name: stable-baselines3
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tags:
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- MountainCar-v0
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- deep-reinforcement-learning
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- reinforcement-learning
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- stable-baselines3
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model-index:
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- name: DQN
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results:
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- task:
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type: reinforcement-learning
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name: reinforcement-learning
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dataset:
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name: MountainCar-v0
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type: MountainCar-v0
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metrics:
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- type: mean_reward
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value: -200.00 +/- 0.00
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name: mean_reward
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verified: false
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---
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# **DQN** Agent playing **MountainCar-v0**
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This is a trained model of a **DQN** agent playing **MountainCar-v0**
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using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
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## Usage (with Stable-baselines3)
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TODO: Add your code
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```python
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from stable_baselines3 import ...
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from huggingface_sb3 import load_from_hub
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...
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```
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config.json
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dqn-MountainCar-v0/pytorch_variables.pth
ADDED
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version https://git-lfs.github.com/spec/v1
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dqn-MountainCar-v0/system_info.txt
ADDED
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1 |
+
- OS: Linux-5.15.120+-x86_64-with-glibc2.35 # 1 SMP Wed Aug 30 11:19:59 UTC 2023
|
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- Python: 3.10.12
|
3 |
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- Stable-Baselines3: 2.0.0a5
|
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- PyTorch: 2.1.0+cu118
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5 |
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- GPU Enabled: True
|
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- Numpy: 1.23.5
|
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+
- Cloudpickle: 2.2.1
|
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+
- Gymnasium: 0.28.1
|
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- OpenAI Gym: 0.25.2
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replay.mp4
ADDED
Binary file (151 kB). View file
|
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results.json
ADDED
@@ -0,0 +1 @@
|
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{"mean_reward": -200.0, "std_reward": 0.0, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-11-02T10:21:31.378909"}
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