AdiKompella's picture
First PPO Lunar Lander v2 model push
e012e26
{
"policy_class": {
":type:": "<class 'abc.ABCMeta'>",
":serialized:": "gASVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==",
"__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 0x7f26b051db00>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f26b051db90>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f26b051dc20>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f26b051dcb0>",
"_build": "<function ActorCriticPolicy._build at 0x7f26b051dd40>",
"forward": "<function ActorCriticPolicy.forward at 0x7f26b051ddd0>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f26b051de60>",
"_predict": "<function ActorCriticPolicy._predict at 0x7f26b051def0>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f26b051df80>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f26b0524050>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f26b05240e0>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc_data object at 0x7f26b05752a0>"
},
"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:": "gASVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu",
"n": 4,
"_shape": [],
"dtype": "int64",
"_np_random": null
},
"n_envs": 16,
"num_timesteps": 507904,
"_total_timesteps": 500000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1656261235.457888,
"learning_rate": 0.0003,
"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:": "gASVmAAAAAAAAACMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMDF9yZWNvbnN0cnVjdJSTlIwFbnVtcHmUjAduZGFycmF5lJOUSwCFlEMBYpSHlFKUKEsBSxCFlGgDjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYolDEAAAAAAAAAAAAAAAAAAAAACUdJRiLg=="
},
"_last_original_obs": null,
"_episode_num": 0,
"use_sde": false,
"sde_sample_freq": -1,
"_current_progress_remaining": -0.015808000000000044,
"ep_info_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "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"
},
"ep_success_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gASVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 124,
"n_steps": 1024,
"gamma": 0.999,
"gae_lambda": 0.98,
"ent_coef": 0.01,
"vf_coef": 0.5,
"max_grad_norm": 0.5,
"batch_size": 64,
"n_epochs": 4,
"clip_range": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"clip_range_vf": null,
"normalize_advantage": true,
"target_kl": null
}