Commit
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Parent(s):
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First try PPO LunarLanderv2
Browse files- README.md +1 -1
- config.json +1 -1
- replay.mp4 +0 -0
- results.json +1 -1
- shchuvov_PPO_LunarLanderv2-2.zip +3 -0
- shchuvov_PPO_LunarLanderv2-2/_stable_baselines3_version +1 -0
- shchuvov_PPO_LunarLanderv2-2/data +112 -0
- shchuvov_PPO_LunarLanderv2-2/policy.optimizer.pth +3 -0
- shchuvov_PPO_LunarLanderv2-2/policy.pth +3 -0
- shchuvov_PPO_LunarLanderv2-2/pytorch_variables.pth +3 -0
- shchuvov_PPO_LunarLanderv2-2/system_info.txt +8 -0
README.md
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@@ -16,7 +16,7 @@ model-index:
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type: LunarLander-v2
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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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verified: false
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---
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type: LunarLander-v2
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metrics:
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- type: mean_reward
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value: 279.47 +/- 12.04
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name: mean_reward
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verified: false
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---
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config.json
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@@ -1 +1 @@
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-
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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 0x7884d01b2b60>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7884d01b2c00>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7884d01b2ca0>", 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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 0x72513c2aab60>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x72513c2aac00>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x72513c2aaca0>", 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|
111 |
+
}
|
112 |
+
}
|
shchuvov_PPO_LunarLanderv2-2/policy.optimizer.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:9baaf9aa819732298016c4046a08d04018d94df7a623197dd017c761dad9cf58
|
3 |
+
size 88490
|
shchuvov_PPO_LunarLanderv2-2/policy.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:7feca4a67c671a493d4f61dca1f8b3557623ce0bd2c6fae688e06b1c51a53e0d
|
3 |
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size 43762
|
shchuvov_PPO_LunarLanderv2-2/pytorch_variables.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:0c35cea3b2e60fb5e7e162d3592df775cd400e575a31c72f359fb9e654ab00c5
|
3 |
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size 864
|
shchuvov_PPO_LunarLanderv2-2/system_info.txt
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
- OS: Linux-6.5.0-26-generic-x86_64-with-glibc2.35 # 26~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Tue Mar 12 10:22:43 UTC 2
|
2 |
+
- Python: 3.11.9
|
3 |
+
- Stable-Baselines3: 2.3.2
|
4 |
+
- PyTorch: 2.3.0+cu121
|
5 |
+
- GPU Enabled: True
|
6 |
+
- Numpy: 1.26.4
|
7 |
+
- Cloudpickle: 3.0.0
|
8 |
+
- Gymnasium: 0.29.1
|