File size: 14,469 Bytes
92e016a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
    "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 0x14546b100>",
        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x14546b1a0>",
        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x14546b240>",
        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x14546b2e0>",
        "_build": "<function ActorCriticPolicy._build at 0x14546b380>",
        "forward": "<function ActorCriticPolicy.forward at 0x14546b420>",
        "extract_features": "<function ActorCriticPolicy.extract_features at 0x14546b4c0>",
        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x14546b560>",
        "_predict": "<function ActorCriticPolicy._predict at 0x14546b600>",
        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x14546b6a0>",
        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x14546b740>",
        "predict_values": "<function ActorCriticPolicy.predict_values at 0x14546b7e0>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc._abc_data object at 0x145470b40>"
    },
    "verbose": 1,
    "policy_kwargs": {},
    "num_timesteps": 1015808,
    "_total_timesteps": 1000000,
    "_num_timesteps_at_start": 0,
    "seed": null,
    "action_noise": null,
    "start_time": 1688127453654140000,
    "learning_rate": 0.0003,
    "tensorboard_log": null,
    "_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,
    "_stats_window_size": 100,
    "ep_info_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "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"
    },
    "ep_success_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
    },
    "_n_updates": 248,
    "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:": "gAWVWgMAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwiVAZcAiQFTAJROhZQpjAFflIWUjIwvVXNlcnMvZGFuZXN1bW1lcnMvTGlicmFyeS9DYWNoZXMvcHlwb2V0cnkvdmlydHVhbGVudnMvdW5pdC0xLTNQTEhjZUJLLXB5My4xMS9saWIvcHl0aG9uMy4xMS9zaXRlLXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZSMBGZ1bmOUjBljb25zdGFudF9mbi48bG9jYWxzPi5mdW5jlEuDQwj4gADYDxKICpRDAJSMA3ZhbJSFlCl0lFKUfZQojAtfX3BhY2thZ2VfX5SMGHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbpSMCF9fbmFtZV9flIwec3RhYmxlX2Jhc2VsaW5lczMuY29tbW9uLnV0aWxzlIwIX19maWxlX1+UjIwvVXNlcnMvZGFuZXN1bW1lcnMvTGlicmFyeS9DYWNoZXMvcHlwb2V0cnkvdmlydHVhbGVudnMvdW5pdC0xLTNQTEhjZUJLLXB5My4xMS9saWIvcHl0aG9uMy4xMS9zaXRlLXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZR1Tk5oAIwQX21ha2VfZW1wdHlfY2VsbJSTlClSlIWUdJRSlIwcY2xvdWRwaWNrbGUuY2xvdWRwaWNrbGVfZmFzdJSMEl9mdW5jdGlvbl9zZXRzdGF0ZZSTlGghfZR9lChoGGgNjAxfX3F1YWxuYW1lX1+UaA6MD19fYW5ub3RhdGlvbnNfX5R9lIwOX19rd2RlZmF1bHRzX1+UTowMX19kZWZhdWx0c19flE6MCl9fbW9kdWxlX1+UaBmMB19fZG9jX1+UTowLX19jbG9zdXJlX1+UaACMCl9tYWtlX2NlbGyUk5RHP8mZmZmZmZqFlFKUhZSMF19jbG91ZHBpY2tsZV9zdWJtb2R1bGVzlF2UjAtfX2dsb2JhbHNfX5R9lHWGlIZSMC4="
    },
    "clip_range_vf": null,
    "normalize_advantage": true,
    "target_kl": null,
    "observation_space": {
        ":type:": "<class 'gymnasium.spaces.box.Box'>",
        ":serialized:": "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",
        "dtype": "float32",
        "bounded_below": "[ True  True  True  True  True  True  True  True]",
        "bounded_above": "[ True  True  True  True  True  True  True  True]",
        "_shape": [
            8
        ],
        "low": "[-90.        -90.         -5.         -5.         -3.1415927  -5.\n  -0.         -0.       ]",
        "high": "[90.        90.         5.         5.         3.1415927  5.\n  1.         1.       ]",
        "low_repr": "[-90.        -90.         -5.         -5.         -3.1415927  -5.\n  -0.         -0.       ]",
        "high_repr": "[90.        90.         5.         5.         3.1415927  5.\n  1.         1.       ]",
        "_np_random": null
    },
    "action_space": {
        ":type:": "<class 'gymnasium.spaces.discrete.Discrete'>",
        ":serialized:": "gAWV/QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgLjAJpOJSJiIeUUpQoSwNoD05OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu",
        "n": "4",
        "start": "0",
        "_shape": [],
        "dtype": "int64",
        "_np_random": null
    },
    "n_envs": 16,
    "lr_schedule": {
        ":type:": "<class 'function'>",
        ":serialized:": "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"
    }
}