andylolu24
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Browse files- README.md +1 -1
- config.json +1 -1
- mlp-lunar-lander.zip +2 -2
- mlp-lunar-lander/_stable_baselines3_version +1 -1
- mlp-lunar-lander/data +26 -26
- mlp-lunar-lander/policy.optimizer.pth +1 -1
- mlp-lunar-lander/policy.pth +2 -2
- mlp-lunar-lander/system_info.txt +1 -1
- replay.mp4 +0 -0
- results.json +1 -1
README.md
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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: 269.65 +/- 14.44
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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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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 0x7f40f0f41280>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f40f0f41310>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f40f0f413a0>", 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"__doc__": "\n Policy class for actor-critic algorithms (has both policy and value prediction).\n Used by A2C, PPO and the likes.\n\n :param observation_space: Observation space\n :param action_space: Action space\n :param lr_schedule: Learning rate schedule (could be constant)\n :param net_arch: The specification of the policy and value networks.\n :param activation_fn: Activation function\n :param ortho_init: Whether to use or not orthogonal initialization\n :param use_sde: Whether to use State Dependent Exploration or not\n :param log_std_init: Initial value for the log standard deviation\n :param full_std: Whether to use (n_features x n_actions) parameters\n for the std instead of only (n_features,) when using gSDE\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 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 ",
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mlp-lunar-lander/policy.optimizer.pth
CHANGED
@@ -1,3 +1,3 @@
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oid sha256:
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3 |
size 87929
|
1 |
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:a158fefdb0eebd2880101c45bee39ddd2519f0c1065bba5960e67c507e4e5eac
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size 87929
|
mlp-lunar-lander/policy.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
1 |
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:0951038c5ee517c1b12531f521b51fe0884f5bd2a8a4c58b61f846b07265f766
|
3 |
+
size 43329
|
mlp-lunar-lander/system_info.txt
CHANGED
@@ -1,6 +1,6 @@
|
|
1 |
- OS: Linux-6.1.11-100.fc36.x86_64-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Thu Feb 9 20:36:30 UTC 2023
|
2 |
- Python: 3.9.15
|
3 |
-
- Stable-Baselines3: 1.
|
4 |
- PyTorch: 2.0.0+cu117
|
5 |
- GPU Enabled: True
|
6 |
- Numpy: 1.24.2
|
1 |
- OS: Linux-6.1.11-100.fc36.x86_64-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Thu Feb 9 20:36:30 UTC 2023
|
2 |
- Python: 3.9.15
|
3 |
+
- Stable-Baselines3: 1.8.0a9
|
4 |
- PyTorch: 2.0.0+cu117
|
5 |
- GPU Enabled: True
|
6 |
- Numpy: 1.24.2
|
replay.mp4
CHANGED
Binary files a/replay.mp4 and b/replay.mp4 differ
|
results.json
CHANGED
@@ -1 +1 @@
|
|
1 |
-
{"mean_reward":
|
1 |
+
{"mean_reward": 269.65322672824016, "std_reward": 14.4381158492001, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-17T21:03:13.983122"}
|