arpitvaghela
commited on
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08e9212
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Parent(s):
98c6756
added model1
Browse files- .gitattributes +1 -0
- config.json +1 -0
- lunar-lander-v1.zip +3 -0
- lunar-lander-v1/_stable_baselines3_version +1 -0
- lunar-lander-v1/data +94 -0
- lunar-lander-v1/policy.optimizer.pth +3 -0
- lunar-lander-v1/policy.pth +3 -0
- lunar-lander-v1/pytorch_variables.pth +3 -0
- lunar-lander-v1/system_info.txt +7 -0
- results.json +1 -0
.gitattributes
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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 0x7fec19667b00>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fec19667b90>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fec19667c20>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fec19667cb0>", "_build": "<function 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lunar-lander-v1/policy.optimizer.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:434ed01380782ddbbd9d49ebcc268a52ac50667ff4c6acadb099aa145f357800
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lunar-lander-v1/policy.pth
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lunar-lander-v1/pytorch_variables.pth
ADDED
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lunar-lander-v1/system_info.txt
ADDED
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OS: Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Sun Apr 24 10:03:06 PDT 2022
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Python: 3.7.13
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Stable-Baselines3: 1.5.0
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PyTorch: 1.11.0+cu113
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|
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|
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results.json
ADDED
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{"mean_reward": 258.7362509946604, "std_reward": 69.41786520867794, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-06-19T12:54:43.627761"}
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