File size: 15,557 Bytes
acc6d19 |
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 0x7f7bf5b18e50>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f7bf5b24c40>"}, "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": 1000000, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1681887789297969351, "learning_rate": 0.0007, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAAVeHSPnSCHDx4pg4/VeHSPnSCHDx4pg4/VeHSPnSCHDx4pg4/VeHSPnSCHDx4pg4/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAAGfbWvsu85L4eP3E/vmBlP4x9070Rbtu/SDphPjQ/jD8fwhw9wMO+vmV4oT9Kz0w/lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAABV4dI+dIIcPHimDj9/zAY7Ye1BuvBepjtV4dI+dIIcPHimDj9/zAY7Ye1BuvBepjtV4dI+dIIcPHimDj9/zAY7Ye1BuvBepjtV4dI+dIIcPHimDj9/zAY7Ye1BuvBepjuUaA5LBEsGhpRoEnSUUpR1Lg==", "achieved_goal": "[[0.4118754 0.00955259 0.5572276 ]\n [0.4118754 0.00955259 0.5572276 ]\n [0.4118754 0.00955259 0.5572276 ]\n [0.4118754 0.00955259 0.5572276 ]]", "desired_goal": "[[-0.41984633 -0.44675288 0.94236934]\n [ 0.8960074 -0.10326681 -1.7142965 ]\n [ 0.21994889 1.0956788 0.03827107]\n [-0.3725872 1.2614866 0.800038 ]]", "observation": "[[ 0.4118754 0.00955259 0.5572276 0.00205687 -0.00073977 0.00507724]\n [ 0.4118754 0.00955259 0.5572276 0.00205687 -0.00073977 0.00507724]\n [ 0.4118754 0.00955259 0.5572276 0.00205687 -0.00073977 0.00507724]\n [ 0.4118754 0.00955259 0.5572276 0.00205687 -0.00073977 0.00507724]]"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAEBAQGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="}, "_last_original_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "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": "[[ 0.12140356 0.03555538 0.21820298]\n [-0.14125098 0.06938329 0.08574309]\n [ 0.09371155 -0.13538256 0.04399193]\n [ 0.14634654 -0.09951859 0.15047337]]", "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": 50000, "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-5.10.147+-x86_64-with-glibc2.31 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.9.16", "Stable-Baselines3": "1.8.0", "PyTorch": "2.0.0+cu118", "GPU Enabled": "False", "Numpy": "1.22.4", "Gym": "0.21.0"}} |