File size: 15,681 Bytes
d55c002 |
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 0x7bc235847640>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7bc23584c740>"}, "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": 2000000, "_total_timesteps": 2000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1691228652647598702, "learning_rate": 0.0007, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "achieved_goal": "[[0.42524037 0.0095238 0.5656481 ]\n [0.42524037 0.0095238 0.5656481 ]\n [0.42524037 0.0095238 0.5656481 ]\n [0.42524037 0.0095238 0.5656481 ]]", "desired_goal": "[[ 0.18895383 1.5512238 0.59452635]\n [ 1.0268849 1.3528111 -1.3311288 ]\n [ 0.46305624 -1.5319288 -0.93504494]\n [ 1.7072158 -0.38554487 0.26783526]]", "observation": "[[ 4.25240368e-01 9.52380057e-03 5.65648079e-01 -1.04910200e-02\n 1.09287386e-04 -1.82765797e-02]\n [ 4.25240368e-01 9.52380057e-03 5.65648079e-01 -1.04910200e-02\n 1.09287386e-04 -1.82765797e-02]\n [ 4.25240368e-01 9.52380057e-03 5.65648079e-01 -1.04910200e-02\n 1.09287386e-04 -1.82765797e-02]\n [ 4.25240368e-01 9.52380057e-03 5.65648079e-01 -1.04910200e-02\n 1.09287386e-04 -1.82765797e-02]]"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAEBAQGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="}, "_last_original_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAA6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAAHbOivcgPtDtIY8s9KeMTPm3pyb3bYJk+g4GgvcJz8T3X1YE9ZXvsvSNscj3uK6o7lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAACUaA5LBEsGhpRoEnSUUpR1Lg==", "achieved_goal": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]]", "desired_goal": "[[-0.07944319 0.00549505 0.09931046]\n [ 0.14442123 -0.09858976 0.29956707]\n [-0.07837202 0.11789657 0.06339615]\n [-0.11546973 0.05918516 0.00519323]]", "observation": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -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]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -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]]"}, "_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": 100000, "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 'gym.spaces.dict.Dict'>", ":serialized:": "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", "spaces": "OrderedDict([('achieved_goal', Box([-10. -10. -10.], [10. 10. 10.], (3,), float32)), ('desired_goal', Box([-10. -10. -10.], [10. 10. 10.], (3,), float32)), ('observation', Box([-10. -10. -10. -10. -10. -10.], [10. 10. 10. 10. 10. 10.], (6,), float32))])", "_shape": null, "dtype": null, "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [3], "low": "[-1. -1. -1.]", "high": "[1. 1. 1.]", "bounded_below": "[ True True True]", "bounded_above": "[ True True True]", "_np_random": null}, "n_envs": 4, "system_info": {"OS": "Linux-5.15.109+-x86_64-with-glibc2.35 # 1 SMP Fri Jun 9 10:57:30 UTC 2023", "Python": "3.10.12", "Stable-Baselines3": "1.8.0", "PyTorch": "2.0.1+cu118", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}} |