Upload PPO LunarLander-v2 trained agent
Browse files- README.md +1 -1
- config.json +1 -1
- replay.mp4 +2 -2
- results.json +1 -1
- second_lunar.zip +3 -0
- second_lunar/_stable_baselines3_version +1 -0
- second_lunar/data +94 -0
- second_lunar/policy.optimizer.pth +3 -0
- second_lunar/policy.pth +3 -0
- second_lunar/pytorch_variables.pth +3 -0
- second_lunar/system_info.txt +7 -0
README.md
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results:
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- metrics:
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- type: mean_reward
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value:
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name: mean_reward
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task:
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type: reinforcement-learning
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results:
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- metrics:
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- type: mean_reward
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value: 260.17 +/- 16.54
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name: mean_reward
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task:
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type: reinforcement-learning
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config.json
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If None, the latent features from the policy will be used.\n Pass an empty list to use the states as features.\n :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n a positive standard deviation (cf paper). 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 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 0x7f58f588fe60>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f58f588fef0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f58f588ff80>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f58f589b050>", "_build": "<function 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second_lunar/policy.optimizer.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4263a849614aa65eb29a50739029e937fe7c0cafbc607a24a7f499ecac00222a
|
3 |
+
size 84893
|
second_lunar/policy.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6c3aa15e68132f689ff822d40df4705691d5aab8768311f8a260d3056355f337
|
3 |
+
size 43201
|
second_lunar/pytorch_variables.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d030ad8db708280fcae77d87e973102039acd23a11bdecc3db8eb6c0ac940ee1
|
3 |
+
size 431
|
second_lunar/system_info.txt
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
OS: Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Sun Apr 24 10:03:06 PDT 2022
|
2 |
+
Python: 3.7.13
|
3 |
+
Stable-Baselines3: 1.5.0
|
4 |
+
PyTorch: 1.11.0+cu113
|
5 |
+
GPU Enabled: True
|
6 |
+
Numpy: 1.21.6
|
7 |
+
Gym: 0.21.0
|