File size: 16,770 Bytes
7670200
1
{"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 0x7b12130f5f30>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7b1212fc0a40>"}, "verbose": 1, "policy_kwargs": {":type:": "<class 'dict'>", ":serialized:": "gAWVgQAAAAAAAAB9lCiMD29wdGltaXplcl9jbGFzc5SME3RvcmNoLm9wdGltLnJtc3Byb3CUjAdSTVNwcm9wlJOUjBBvcHRpbWl6ZXJfa3dhcmdzlH2UKIwFYWxwaGGURz/vrhR64UeujANlcHOURz7k+LWI42jxjAx3ZWlnaHRfZGVjYXmUSwB1dS4=", "optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>", "optimizer_kwargs": {"alpha": 0.99, "eps": 1e-05, "weight_decay": 0}}, "num_timesteps": 298780, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1718985974336323072, "learning_rate": 0.0007, "tensorboard_log": null, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "achieved_goal": "[[-1.1091614  -1.0203586   0.1365659 ]\n [-0.49698234 -0.8887978   0.1365659 ]\n [-0.9137096   1.1747723   0.13651259]\n [-0.6840734  -1.9833531   0.13655688]]", "desired_goal": "[[-0.2292169  -0.65907055  1.2253265 ]\n [ 1.2623147   0.5731573   1.2710401 ]\n [ 1.6407944  -1.6706183  -0.24002069]\n [-0.06277847  1.4904152  -1.0658146 ]]", "observation": "[[ 3.1255096e-01 -1.3804058e+00 -7.8067410e-01 -4.9028987e-01\n  -8.9616781e-01  1.1534935e-01  1.3111975e+00 -1.1091614e+00\n  -1.0203586e+00  1.3656589e-01 -2.6142815e-02 -2.1102417e-02\n  -9.2010209e-03  2.5024025e-02  1.3867883e-02  5.8625329e-02\n  -9.9228099e-03 -2.4378052e-02  2.6678275e-03]\n [ 5.1317829e-01 -1.0034661e+00 -7.5812697e-01  7.6294869e-01\n   8.5089964e-01  3.9212987e-02  1.3108194e+00 -4.9698234e-01\n  -8.8879782e-01  1.3656589e-01 -2.6236599e-02 -2.0953856e-02\n  -6.7268242e-03  2.5424609e-02  1.4308178e-02  5.8625329e-02\n  -9.9228090e-03 -2.4378054e-02  3.2647923e-03]\n [ 3.1526342e-01 -1.1165688e-01  1.5055622e-01  1.5879354e+00\n  -8.1369692e-01 -1.6435138e+00 -8.5419947e-01 -9.1370958e-01\n   1.1747723e+00  1.3651259e-01 -2.6491579e-02 -2.0584049e-02\n  -7.8665810e-03  2.5734084e-02  1.2199382e-02  5.9814792e-02\n  -1.9335210e-03 -2.3545446e-02  3.4435843e-03]\n [ 3.6113533e-01 -9.9233663e-01 -7.6068884e-01  4.7159043e-01\n  -6.6966766e-01  9.7414829e-02  1.3112264e+00 -6.8407339e-01\n  -1.9833531e+00  1.3655688e-01 -2.6238972e-02 -2.1153901e-02\n   3.2463298e+00 -3.1576896e-01 -2.2721347e-01  5.8671989e-02\n  -1.0474279e-02 -2.4410412e-02  1.4027929e-01]]"}, "_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": "[[ 0.07015559  0.05524587  0.02      ]\n [-0.025571    0.02008062  0.02      ]\n [ 0.12918344 -0.06163978  0.02      ]\n [-0.14279595  0.12887798  0.02      ]]", "desired_goal": "[[-0.0300535  -0.14365889  0.13303241]\n [-0.14570117 -0.13614446  0.12444753]\n [-0.06505638  0.08367428  0.09403696]\n [ 0.13170478 -0.08467691  0.13742967]]", "observation": "[[ 3.8439669e-02 -2.1944723e-12  1.9740014e-01  0.0000000e+00\n  -0.0000000e+00  0.0000000e+00  0.0000000e+00  7.0155591e-02\n   5.5245865e-02  2.0000000e-02  0.0000000e+00 -0.0000000e+00\n   0.0000000e+00  0.0000000e+00  0.0000000e+00  0.0000000e+00\n   0.0000000e+00  0.0000000e+00  0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12  1.9740014e-01  0.0000000e+00\n  -0.0000000e+00  0.0000000e+00  0.0000000e+00 -2.5570996e-02\n   2.0080619e-02  2.0000000e-02  0.0000000e+00 -0.0000000e+00\n   0.0000000e+00  0.0000000e+00  0.0000000e+00  0.0000000e+00\n   0.0000000e+00  0.0000000e+00  0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12  1.9740014e-01  0.0000000e+00\n  -0.0000000e+00  0.0000000e+00  0.0000000e+00  1.2918344e-01\n  -6.1639778e-02  2.0000000e-02  0.0000000e+00 -0.0000000e+00\n   0.0000000e+00  0.0000000e+00  0.0000000e+00  0.0000000e+00\n   0.0000000e+00  0.0000000e+00  0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12  1.9740014e-01  0.0000000e+00\n  -0.0000000e+00  0.0000000e+00  0.0000000e+00 -1.4279595e-01\n   1.2887798e-01  2.0000000e-02  0.0000000e+00 -0.0000000e+00\n   0.0000000e+00  0.0000000e+00  0.0000000e+00  0.0000000e+00\n   0.0000000e+00  0.0000000e+00  0.0000000e+00]]"}, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": 0.70122, "_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": 14939, "n_steps": 5, "gamma": 0.99, "gae_lambda": 1.0, "ent_coef": 0.0, "vf_coef": 0.5, "max_grad_norm": 0.5, "normalize_advantage": false, "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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"}, "system_info": {"OS": "Linux-5.15.133+-x86_64-with-glibc2.31 # 1 SMP Tue Dec 19 13:14:11 UTC 2023", "Python": "3.10.13", "Stable-Baselines3": "2.1.0", "PyTorch": "2.1.2+cpu", "GPU Enabled": "False", "Numpy": "1.26.4", "Cloudpickle": "2.2.1", "Gymnasium": "0.29.0", "OpenAI Gym": "0.26.2"}}