SumitxThokar commited on
Commit
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1 Parent(s): d4ea653

Luna Lander lands to HuggingFace Hub

Browse files
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Landing-Luna/system_info.txt ADDED
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+ - 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
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+ - Stable-Baselines3: 2.0.0a5
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+ - PyTorch: 2.1.0+cu118
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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
README.md ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: stable-baselines3
3
+ tags:
4
+ - LunarLander-v2
5
+ - deep-reinforcement-learning
6
+ - reinforcement-learning
7
+ - stable-baselines3
8
+ model-index:
9
+ - name: PPO
10
+ results:
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+ - task:
12
+ type: reinforcement-learning
13
+ name: reinforcement-learning
14
+ dataset:
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+ name: LunarLander-v2
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+ type: LunarLander-v2
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+ metrics:
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+ - type: mean_reward
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+ value: 270.47 +/- 16.30
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+ name: mean_reward
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+ verified: false
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+ ---
23
+
24
+ # **PPO** Agent playing **LunarLander-v2**
25
+ This is a trained model of a **PPO** agent playing **LunarLander-v2**
26
+ using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
27
+
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+ ## Usage (with Stable-baselines3)
29
+ TODO: Add your code
30
+
31
+
32
+ ```python
33
+ from stable_baselines3 import ...
34
+ from huggingface_sb3 import load_from_hub
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+
36
+ ...
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+ ```
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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 0x796bc002f130>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x796bc002f1c0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x796bc002f250>", 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Binary file (165 kB). View file
 
results.json ADDED
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