File size: 17,057 Bytes
ef08b53 |
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 |
{
"policy_class": {
":type:": "<class 'abc.ABCMeta'>",
":serialized:": "gAWVRQAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMG011bHRpSW5wdXRBY3RvckNyaXRpY1BvbGljeZSTlC4=",
"__module__": "stable_baselines3.common.policies",
"__doc__": "\n MultiInputActorClass 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 (Tuple)\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: Uses the CombinedExtractor\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 MultiInputActorCriticPolicy.__init__ at 0x7cad8f027b50>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7cad8ee2db40>"
},
"verbose": 1,
"policy_kwargs": {
":type:": "<class 'dict'>",
":serialized:": "gAWVmQAAAAAAAAB9lCiMCG5ldF9hcmNolF2UKE0AAU0AAU0AAWWMD29wdGltaXplcl9jbGFzc5SME3RvcmNoLm9wdGltLnJtc3Byb3CUjAdSTVNwcm9wlJOUjBBvcHRpbWl6ZXJfa3dhcmdzlH2UKIwFYWxwaGGURz/vrhR64UeujANlcHOURz7k+LWI42jxjAx3ZWlnaHRfZGVjYXmUSwB1dS4=",
"net_arch": [
256,
256,
256
],
"optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>",
"optimizer_kwargs": {
"alpha": 0.99,
"eps": 1e-05,
"weight_decay": 0
}
},
"num_timesteps": 100000,
"_total_timesteps": 100000.0,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1700050481216048718,
"learning_rate": 0.001,
"tensorboard_log": null,
"_last_obs": {
":type:": "<class 'collections.OrderedDict'>",
":serialized:": "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",
"achieved_goal": "[[ 0.8709644 -1.3030654 0.10554393]\n [-0.69021887 0.07470028 0.10555046]\n [-0.5849072 0.9868777 0.10555685]\n [ 0.8149216 0.02697708 0.10556017]]",
"desired_goal": "[[ 0.5195139 -0.9447423 0.2533464 ]\n [-1.623858 1.052502 -1.0883387 ]\n [ 0.95471096 0.9150096 -0.13013522]\n [ 0.1349099 0.40686584 0.11788772]]",
"observation": "[[ 1.0097951 0.11597314 -0.39221627 0.03239728 0.3645347 -1.0648417\n 0.7506138 0.8709644 -1.3030654 0.10554393 0.01220968 -0.02888855\n -0.03137708 0.03259006 -0.0188836 0.04463288 0.01151701 -0.0203506\n -0.02124222]\n [-1.2129287 1.5610147 2.3488872 -2.2642367 0.11645991 0.13973203\n -1.138294 -0.69021887 0.07470028 0.10555046 0.01196677 -0.02870546\n -0.03149806 0.03285061 -0.01886768 0.04475361 0.01079051 -0.02035079\n -0.02122434]\n [ 0.45122695 -1.3856189 -0.64140695 0.3355563 -0.04282867 0.11585111\n 1.0076824 -0.5849072 0.9868777 0.10555685 0.01192764 -0.0288601\n -0.02963562 0.03309323 -0.0183333 0.04475361 0.01079053 -0.02035077\n -0.02072378]\n [ 0.3266666 -1.5228685 -0.5998298 0.576102 0.15234998 0.13242888\n 1.0076715 0.8149216 0.02697708 0.10556017 0.01195474 -0.02910174\n -0.03184348 0.03248557 -0.01840895 0.04500295 0.00900701 -0.02293329\n -0.02137713]]"
},
"_last_episode_starts": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="
},
"_last_original_obs": {
":type:": "<class 'collections.OrderedDict'>",
":serialized:": "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",
"achieved_goal": "[[ 0.11950918 0.07454035 0.02 ]\n [-0.06072114 0.03305672 0.02 ]\n [-0.07422308 0.07481163 0.02 ]\n [ 0.12631904 -0.07274652 0.02 ]]",
"desired_goal": "[[ 0.08500332 -0.09172739 0.02 ]\n [-0.07154347 0.08310688 0.02 ]\n [ 0.12917748 -0.05931719 0.19062383]\n [-0.00572208 0.0456675 0.02 ]]",
"observation": "[[ 3.84396687e-02 -2.19447225e-12 1.97400138e-01 0.00000000e+00\n -0.00000000e+00 0.00000000e+00 0.00000000e+00 1.19509175e-01\n 7.45403543e-02 1.99999996e-02 0.00000000e+00 -0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n [ 3.84396687e-02 -2.19447225e-12 1.97400138e-01 0.00000000e+00\n -0.00000000e+00 0.00000000e+00 0.00000000e+00 -6.07211404e-02\n 3.30567174e-02 1.99999996e-02 0.00000000e+00 -0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n [ 3.84396687e-02 -2.19447225e-12 1.97400138e-01 0.00000000e+00\n -0.00000000e+00 0.00000000e+00 0.00000000e+00 -7.42230788e-02\n 7.48116300e-02 1.99999996e-02 0.00000000e+00 -0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n [ 3.84396687e-02 -2.19447225e-12 1.97400138e-01 0.00000000e+00\n -0.00000000e+00 0.00000000e+00 0.00000000e+00 1.26319036e-01\n -7.27465227e-02 1.99999996e-02 0.00000000e+00 -0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00]]"
},
"_episode_num": 0,
"use_sde": false,
"sde_sample_freq": -1,
"_current_progress_remaining": 0.0,
"_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": 1250,
"n_steps": 20,
"gamma": 0.95,
"gae_lambda": 0.95,
"ent_coef": 0.0001,
"vf_coef": 0.5,
"max_grad_norm": 0.5,
"normalize_advantage": true,
"observation_space": {
":type:": "<class 'gymnasium.spaces.dict.Dict'>",
":serialized:": "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",
"spaces": "OrderedDict([('achieved_goal', Box(-10.0, 10.0, (3,), float32)), ('desired_goal', Box(-10.0, 10.0, (3,), float32)), ('observation', Box(-10.0, 10.0, (19,), float32))])",
"_shape": null,
"dtype": null,
"_np_random": null
},
"action_space": {
":type:": "<class 'gymnasium.spaces.box.Box'>",
":serialized:": "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",
"dtype": "float32",
"bounded_below": "[ True True True True]",
"bounded_above": "[ True True True True]",
"_shape": [
4
],
"low": "[-1. -1. -1. -1.]",
"high": "[1. 1. 1. 1.]",
"low_repr": "-1.0",
"high_repr": "1.0",
"_np_random": null
},
"n_envs": 4,
"lr_schedule": {
":type:": "<class 'function'>",
":serialized:": "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"
}
} |