| { | |
| "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 0x7f47a16db550>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f47a16db5e0>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f47a16db670>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f47a16db700>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f47a16db790>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f47a16db820>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f47a16db8b0>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f47a16db940>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f47a16db9d0>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f47a16dba60>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f47a16dbaf0>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f47a16dbb80>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x7f47a16de240>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "observation_space": { | |
| ":type:": "<class 'gym.spaces.box.Box'>", | |
| ":serialized:": "gAWVnwEAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLCIWUjANsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWIAAAAAAAAAAAAID/AACA/wAAgP8AAID/AACA/wAAgP8AAID/AACA/5RoCksIhZSMAUOUdJRSlIwEaGlnaJRoEiiWIAAAAAAAAAAAAIB/AACAfwAAgH8AAIB/AACAfwAAgH8AAIB/AACAf5RoCksIhZRoFXSUUpSMDWJvdW5kZWRfYmVsb3eUaBIolggAAAAAAAAAAAAAAAAAAACUaAeMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLCIWUaBV0lFKUjA1ib3VuZGVkX2Fib3ZllGgSKJYIAAAAAAAAAAAAAAAAAAAAlGghSwiFlGgVdJRSlIwKX25wX3JhbmRvbZROdWIu", | |
| "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": 24, | |
| "num_timesteps": 2015232, | |
| "_total_timesteps": 2000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1680604192088188142, | |
| "learning_rate": 0.0003, | |
| "tensorboard_log": null, | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "_last_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVdQMAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYAAwAAAAAAAM0367x71o26w1dpOBPOYDNKOk26lDWHtwAAgD8AAIA/gO1zvfYsCrzc3iU93+d8PAyEZr04dVQ9AACAPwAAgD9N8wi9D8pUPiIRIj7bZYi+QZFwPZrlhD0AAAAAAAAAACYcvj24epg/s6nXPto8BL8I3gA+mxtgPgAAAAAAAAAAwLM8vhcfUD86jey9ahkCv0RBWb7Tn4A8AAAAAAAAAACAmw69uNIzP+IYcj3nqvy+vCt5vanRvbsAAAAAAAAAAJqsobzDuQ+6qsQts86q9S6/Ucy7HnLRMwAAgD8AAIA/kDenPqDGjz+t+80+OcX9vmbr5j5CCeU8AAAAAAAAAAAgCHE+r9hnP3bBYT4HLfa+HArEPpZKj70AAAAAAAAAAJpXFD3hgJq6YlaOucIab7QyM9C670GkOAAAgD8AAIA/jbnJPSlgfbrH1KY4ACnOMigMlrtsYsW3AACAPwAAgD/mfhG9uAbNuYJ7nje6BJwywmV+udlGtbYAAIA/AACAP83iZ73h5oW6YoTasyc+c69V5vk6gDW4MwAAgD8AAIA/M6KCvJJrkj+KJe28q+MVvy4poLw5Pyq9AAAAAAAAAADK7Vu+PTk+Php8Rj5hqNC+1ngJvvKKAT4AAAAAAAAAABqInz3Fjj8+xvQrvipSvr5Bntm7R5kGvQAAAAAAAAAAM50pPRgGlj4icJm8vq+9vtDL2TyuEOe8AAAAAAAAAADN1BY7iA6fP0WkLj0RLCK/rseVvN7+0rwAAAAAAAAAADMsTz2H0ao/EqSnPh9e1b4h6p098JZkPgAAAAAAAAAADUymvXZMoz+9K/i+cSYWv5j3t72Mo6S+AAAAAAAAAAA2gIk+qNVVPwNGzDy26PC+Xt6dPrTgiL0AAAAAAAAAAE1Moj3h4oy6Ok+OOfOdxLNHcAa7PIKhuAAAgD8AAAAA2t8KvmHXpj2hupQ+jAyPvnJNujtWzmo9AAAAAAAAAAA6S3a+esmhPs6fuD665bG+qWiKvR4SHD4AAAAAAAAAAJSMBW51bXB5lIwFZHR5cGWUk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGJLGEsIhpSMAUOUdJRSlC4=" | |
| }, | |
| "_last_episode_starts": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWViwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJSMBW51bXB5lIwFZHR5cGWUk5SMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLGIWUjAFDlHSUUpQu" | |
| }, | |
| "_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": 328, | |
| "n_steps": 2048, | |
| "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": 8, | |
| "clip_range": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "clip_range_vf": null, | |
| "normalize_advantage": true, | |
| "target_kl": null | |
| } |