File size: 14,733 Bytes
2b930ad | 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 | {
"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 0x7fabd0a5d820>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fabd0a5d8b0>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fabd0a5d940>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fabd0a5d9d0>",
"_build": "<function ActorCriticPolicy._build at 0x7fabd0a5da60>",
"forward": "<function ActorCriticPolicy.forward at 0x7fabd0a5daf0>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7fabd0a5db80>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fabd0a5dc10>",
"_predict": "<function ActorCriticPolicy._predict at 0x7fabd0a5dca0>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fabd0a5dd30>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fabd0a5ddc0>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7fabd0a5de50>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc_data object at 0x7fabd0a579f0>"
},
"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": 16,
"num_timesteps": 1015808,
"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1674596460340677439,
"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": 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:": "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"
},
"clip_range_vf": null,
"normalize_advantage": true,
"target_kl": null
} |