DG: Upload PPO MountainCar-v0 trained agent
Browse files- README.md +37 -0
- config.json +1 -0
- ppo-MountainCar-v0.zip +3 -0
- ppo-MountainCar-v0/_stable_baselines3_version +1 -0
- ppo-MountainCar-v0/data +99 -0
- ppo-MountainCar-v0/policy.optimizer.pth +3 -0
- ppo-MountainCar-v0/policy.pth +3 -0
- ppo-MountainCar-v0/pytorch_variables.pth +3 -0
- ppo-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: PPO
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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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# **PPO** Agent playing **MountainCar-v0**
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This is a trained model of a **PPO** 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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It allows to keep variance\n above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n :param squash_output: Whether to squash the output using a tanh function,\n this allows to ensure boundaries when using gSDE.\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 share_features_extractor: If True, the features extractor is shared between the policy and value networks.\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 ", "__init__": "<function ActorCriticPolicy.__init__ at 0x7fcf4feba3b0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fcf4feba440>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fcf4feba4d0>", 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ppo-MountainCar-v0.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:511c213b6825c47975dcc13b215bb03e8ecf5305945a3620f967ed34dfb225dd
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size 135466
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ppo-MountainCar-v0/_stable_baselines3_version
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2.0.0a5
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ppo-MountainCar-v0/data
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}
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ppo-MountainCar-v0/policy.optimizer.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5c7bbd9867bb5cf2762a760f59ea4372f1f5897689be0233ba42bdd8627f016c
|
3 |
+
size 81273
|
ppo-MountainCar-v0/policy.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1368a5d9ba1a3836e0842984d281e9bf7800d162280273c73f7f0c73b8a0815a
|
3 |
+
size 40001
|
ppo-MountainCar-v0/pytorch_variables.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d030ad8db708280fcae77d87e973102039acd23a11bdecc3db8eb6c0ac940ee1
|
3 |
+
size 431
|
ppo-MountainCar-v0/system_info.txt
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
- OS: Linux-5.15.107+-x86_64-with-glibc2.31 # 1 SMP Sat Apr 29 09:15:28 UTC 2023
|
2 |
+
- Python: 3.10.12
|
3 |
+
- Stable-Baselines3: 2.0.0a5
|
4 |
+
- PyTorch: 2.0.1+cu118
|
5 |
+
- GPU Enabled: True
|
6 |
+
- Numpy: 1.22.4
|
7 |
+
- Cloudpickle: 2.2.1
|
8 |
+
- Gymnasium: 0.28.1
|
9 |
+
- OpenAI Gym: 0.25.2
|
replay.mp4
ADDED
Binary file (185 kB). View file
|
|
results.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"mean_reward": -200.0, "std_reward": 0.0, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-07-05T07:31:04.558729"}
|