File size: 14,792 Bytes
25574e1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
{
    "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 0x134fa8c10>",
        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x134fa8ca0>",
        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x134fa8d30>",
        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x134fa8dc0>",
        "_build": "<function ActorCriticPolicy._build at 0x134fa8e50>",
        "forward": "<function ActorCriticPolicy.forward at 0x134fa8ee0>",
        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x134fa8f70>",
        "_predict": "<function ActorCriticPolicy._predict at 0x134fad040>",
        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x134fad0d0>",
        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x134fad160>",
        "predict_values": "<function ActorCriticPolicy.predict_values at 0x134fad1f0>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc._abc_data object at 0x134e3fa80>"
    },
    "verbose": 1,
    "policy_kwargs": {
        ":type:": "<class 'dict'>",
        ":serialized:": "gAWVoAAAAAAAAAB9lCiMDGxvZ19zdGRfaW5pdJRLAowKb3J0aG9faW5pdJSJjA9vcHRpbWl6ZXJfY2xhc3OUjBN0b3JjaC5vcHRpbS5ybXNwcm9wlIwHUk1TcHJvcJSTlIwQb3B0aW1pemVyX2t3YXJnc5R9lCiMBWFscGhhlEc/764UeuFHrowDZXBzlEc+5Pi1iONo8YwMd2VpZ2h0X2RlY2F5lEsAdXUu",
        "log_std_init": 2,
        "ortho_init": false,
        "optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>",
        "optimizer_kwargs": {
            "alpha": 0.99,
            "eps": 1e-05,
            "weight_decay": 0
        }
    },
    "observation_space": {
        ":type:": "<class 'gym.spaces.box.Box'>",
        ":serialized:": "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",
        "dtype": "float32",
        "_shape": [
            28
        ],
        "low": "[-inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf\n -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf]",
        "high": "[inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf\n inf inf inf inf inf inf inf inf inf inf]",
        "bounded_below": "[False False False False False False False False False False False False\n False False False False False False False False False False False False\n False False False False]",
        "bounded_above": "[False False False False False False False False False False False False\n False False False False False False False False False False False False\n False False False False]",
        "_np_random": null
    },
    "action_space": {
        ":type:": "<class 'gym.spaces.box.Box'>",
        ":serialized:": "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",
        "dtype": "float32",
        "_shape": [
            8
        ],
        "low": "[-1. -1. -1. -1. -1. -1. -1. -1.]",
        "high": "[1. 1. 1. 1. 1. 1. 1. 1.]",
        "bounded_below": "[ True  True  True  True  True  True  True  True]",
        "bounded_above": "[ True  True  True  True  True  True  True  True]",
        "_np_random": null
    },
    "n_envs": 4,
    "num_timesteps": 2000000,
    "_total_timesteps": 2000000,
    "_num_timesteps_at_start": 0,
    "seed": null,
    "action_noise": null,
    "start_time": 1658481652.723686,
    "learning_rate": 0.0096,
    "tensorboard_log": "./tensorboard",
    "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:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="
    },
    "_last_original_obs": {
        ":type:": "<class 'numpy.ndarray'>",
        ":serialized:": "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"
    },
    "_episode_num": 0,
    "use_sde": true,
    "sde_sample_freq": -1,
    "_current_progress_remaining": 0.0,
    "ep_info_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "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"
    },
    "ep_success_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
    },
    "_n_updates": 62500,
    "n_steps": 8,
    "gamma": 0.99,
    "gae_lambda": 0.9,
    "ent_coef": 0.0,
    "vf_coef": 0.4,
    "max_grad_norm": 0.5,
    "normalize_advantage": false
}