ppo-Pendulum-v1/data
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1 {
2 "policy_class": {
3 ":type:": "<class 'abc.ABCMeta'>",
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5 "__module__": "stable_baselines3.common.policies",
6 "__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 ",
7 "__init__": "<function ActorCriticPolicy.__init__ at 0x7f8a62b2bee0>",
8 "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f8a62b2bf70>",
9 "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f8a62ab0040>",
10 "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f8a62ab00d0>",
11 "_build": "<function ActorCriticPolicy._build at 0x7f8a62ab0160>",
12 "forward": "<function ActorCriticPolicy.forward at 0x7f8a62ab01f0>",
13 "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f8a62ab0280>",
14 "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f8a62ab0310>",
15 "_predict": "<function ActorCriticPolicy._predict at 0x7f8a62ab03a0>",
16 "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f8a62ab0430>",
17 "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f8a62ab04c0>",
18 "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f8a62ab0550>",
19 "__abstractmethods__": "frozenset()",
20 "_abc_impl": "<_abc_data object at 0x7f8a62b26e10>"
21 },
22 "verbose": 1,
23 "policy_kwargs": {},
24 "num_timesteps": 102400,
25 "_total_timesteps": 100000,
26 "_num_timesteps_at_start": 0,
27 "seed": 0,
28 "action_noise": null,
29 "start_time": 1694771152245526076,
30 "learning_rate": {
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33 },
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36 "_last_episode_starts": {
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104 }
105 }