Liphos's picture
quick_test_PPO_lunarlander
d7066ac
raw
history blame contribute delete
No virus
14.7 kB
{
"policy_class": {
":type:": "<class 'abc.ABCMeta'>",
":serialized:": "gAWVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==",
"__module__": "stable_baselines3.common.policies",
"__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 sde_net_arch: Network architecture for extracting features\n when using gSDE. 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 0x7fa7b90f7a60>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fa7b90f7af0>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fa7b90f7b80>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fa7b90f7c10>",
"_build": "<function ActorCriticPolicy._build at 0x7fa7b90f7ca0>",
"forward": "<function ActorCriticPolicy.forward at 0x7fa7b90f7d30>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fa7b90f7dc0>",
"_predict": "<function ActorCriticPolicy._predict at 0x7fa7b90f7e50>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fa7b90f7ee0>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fa7b90f7f70>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7fa7b90f9040>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc_data object at 0x7fa7b90f4330>"
},
"verbose": 1,
"policy_kwargs": {},
"observation_space": {
":type:": "<class 'gym.spaces.box.Box'>",
":serialized:": "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",
"dtype": "float32",
"_shape": [
8
],
"low": "[-inf -inf -inf -inf -inf -inf -inf -inf]",
"high": "[inf inf inf inf inf inf inf inf]",
"bounded_below": "[False False False False False False False False]",
"bounded_above": "[False False False False False False False False]",
"_np_random": null
},
"action_space": {
":type:": "<class 'gym.spaces.discrete.Discrete'>",
":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu",
"n": 4,
"_shape": [],
"dtype": "int64",
"_np_random": null
},
"n_envs": 16,
"num_timesteps": 1007616,
"_total_timesteps": 1000000.0,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1671820142329190378,
"learning_rate": 0.001,
"tensorboard_log": null,
"lr_schedule": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"_last_obs": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "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"
},
"_last_episode_starts": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="
},
"_last_original_obs": null,
"_episode_num": 0,
"use_sde": false,
"sde_sample_freq": -1,
"_current_progress_remaining": -0.007616000000000067,
"ep_info_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "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"
},
"ep_success_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 2460,
"n_steps": 512,
"gamma": 0.99,
"gae_lambda": 0.95,
"ent_coef": 0.0,
"vf_coef": 0.5,
"max_grad_norm": 0.5,
"batch_size": 512,
"n_epochs": 20,
"clip_range": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"clip_range_vf": null,
"normalize_advantage": true,
"target_kl": null
}