Quentin Gallouédec
Initial commit
25fbfef
{
"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 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 ",
"__init__": "<function ActorCriticPolicy.__init__ at 0x7f827c492ee0>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f827c492f70>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f827c494040>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f827c4940d0>",
"_build": "<function ActorCriticPolicy._build at 0x7f827c494160>",
"forward": "<function ActorCriticPolicy.forward at 0x7f827c4941f0>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7f827c494280>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f827c494310>",
"_predict": "<function ActorCriticPolicy._predict at 0x7f827c4943a0>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f827c494430>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f827c4944c0>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f827c494550>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7f827c493ec0>"
},
"verbose": 1,
"policy_kwargs": {},
"observation_space": {
":type:": "<class 'gym.spaces.box.Box'>",
":serialized:": "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",
"dtype": "float64",
"_shape": [
11
],
"low": "[-inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf]",
"high": "[inf inf inf inf inf inf inf inf inf inf inf]",
"bounded_below": "[False False False False False False False False False False False]",
"bounded_above": "[False False False False False False False False False False False]",
"_np_random": null
},
"action_space": {
":type:": "<class 'gym.spaces.box.Box'>",
":serialized:": "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",
"dtype": "float32",
"_shape": [
1
],
"low": "[-1.]",
"high": "[1.]",
"bounded_below": "[ True]",
"bounded_above": "[ True]",
"_np_random": "RandomState(MT19937)"
},
"n_envs": 1,
"num_timesteps": 1000064,
"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": 0,
"action_noise": null,
"start_time": 1675807584640968591,
"learning_rate": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"tensorboard_log": "runs/InvertedDoublePendulum-v2__ppo__950280392__1675807580/InvertedDoublePendulum-v2",
"lr_schedule": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"_last_obs": null,
"_last_episode_starts": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "gAWVdAAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYBAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwGFlIwBQ5R0lFKULg=="
},
"_last_original_obs": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "gAWVzQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJZYAAAAAAAAAOrMA7mS1K+/oG/C3YDQlr8bLanI6R+IP9QLfm/3/e8/YizBfm7/7z+4zOri7Zm1P2Vv253yybO/a1b6pxnxwT8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJmOJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRiSwFLC4aUjAFDlHSUUpQu"
},
"_episode_num": 0,
"use_sde": false,
"sde_sample_freq": -1,
"_current_progress_remaining": -6.4000000000064e-05,
"ep_info_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "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"
},
"ep_success_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 78130,
"n_steps": 128,
"gamma": 0.98,
"gae_lambda": 0.8,
"ent_coef": 1.05057e-06,
"vf_coef": 0.695929,
"max_grad_norm": 0.5,
"batch_size": 512,
"n_epochs": 10,
"clip_range": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"clip_range_vf": null,
"normalize_advantage": true,
"target_kl": null
}