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1 Parent(s): 4352154

upload ddpg BipedalWalkerHardcore-v3 trained agent

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.gitattributes CHANGED
@@ -25,3 +25,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zstandard filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zstandard filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ *.mp4 filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ library_name: stable-baselines3
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+ tags:
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+ - BipedalWalkerHardcore-v3
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+ - deep-reinforcement-learning
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+ - reinforcement-learning
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+ - stable-baselines3
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+ model-index:
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+ - name: DDPG
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+ results:
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+ - metrics:
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+ - type: mean_reward
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+ value: -122.85 +/- 24.22
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+ name: mean_reward
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+ task:
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+ type: reinforcement-learning
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+ name: reinforcement-learning
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+ dataset:
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+ name: BipedalWalkerHardcore-v3
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+ type: BipedalWalkerHardcore-v3
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+ ---
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+
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+ # **DDPG** Agent playing **BipedalWalkerHardcore-v3**
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+ This is a trained model of a **DDPG** agent playing **BipedalWalkerHardcore-v3** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
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+
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+ ## Usage (with Stable-baselines3)
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+ TODO: Add your code
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+
config.json ADDED
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+ {"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVMAAAAAAAAACMHnN0YWJsZV9iYXNlbGluZXMzLnRkMy5wb2xpY2llc5SMCVREM1BvbGljeZSTlC4=", "__module__": "stable_baselines3.td3.policies", "__doc__": "\n Policy class (with both actor and critic) for TD3.\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 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 :param n_critics: Number of critic networks to create.\n :param share_features_extractor: Whether to share or not the features extractor\n between the actor and the critic (this saves computation time)\n ", "__init__": "<function TD3Policy.__init__ at 0x7fc1a149e7a0>", "_build": "<function TD3Policy._build at 0x7fc1a149e830>", "_get_constructor_parameters": "<function TD3Policy._get_constructor_parameters at 0x7fc1a149e8c0>", "make_actor": "<function TD3Policy.make_actor at 0x7fc1a149e950>", "make_critic": "<function TD3Policy.make_critic at 0x7fc1a149e9e0>", "forward": "<function TD3Policy.forward at 0x7fc1a149ea70>", "_predict": "<function TD3Policy._predict at 0x7fc1a149eb00>", "set_training_mode": "<function TD3Policy.set_training_mode at 0x7fc1a149eb90>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fc1a14917b0>"}, "verbose": 1, "policy_kwargs": {"n_critics": 1}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": 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