chans's picture
initial model test
1e5f238
{
"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 0x7ff704a8a280>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7ff704a8a310>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7ff704a8a3a0>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7ff704a8a430>",
"_build": "<function ActorCriticPolicy._build at 0x7ff704a8a4c0>",
"forward": "<function ActorCriticPolicy.forward at 0x7ff704a8a550>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7ff704a8a5e0>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7ff704a8a670>",
"_predict": "<function ActorCriticPolicy._predict at 0x7ff704a8a700>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7ff704a8a790>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7ff704a8a820>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7ff704a8a8b0>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc_data object at 0x7ff704a85840>"
},
"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": 1015808,
"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1678168726013102059,
"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:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="
},
"_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:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 310,
"n_steps": 2048,
"gamma": 0.99,
"gae_lambda": 0.95,
"ent_coef": 0.0,
"vf_coef": 0.5,
"max_grad_norm": 0.5,
"batch_size": 64,
"n_epochs": 10,
"clip_range": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"clip_range_vf": null,
"normalize_advantage": true,
"target_kl": null
}