| { | |
| "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 0x7f6a44e5cca0>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7f6a44e6db40>" | |
| }, | |
| "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 | |
| } | |
| }, | |
| "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, | |
| "num_timesteps": 1000000, | |
| "_total_timesteps": 1000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1674420837228887814, | |
| "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": "[[ 0.44364563 -0.0568875 0.5801696 ]\n [ 0.44364563 -0.0568875 0.5801696 ]\n [ 0.44364563 -0.0568875 0.5801696 ]\n [ 0.44364563 -0.0568875 0.5801696 ]]", | |
| "desired_goal": "[[-0.55212146 0.89755154 -1.4958884 ]\n [ 0.6227911 -0.75624466 0.20514457]\n [ 0.73307306 0.790775 0.72482693]\n [-0.2253413 -1.6723441 -1.1424091 ]]", | |
| "observation": "[[ 4.4364563e-01 -5.6887496e-02 5.8016962e-01 1.4232207e-04\n -4.7654412e-03 5.7977815e-03]\n [ 4.4364563e-01 -5.6887496e-02 5.8016962e-01 1.4232207e-04\n -4.7654412e-03 5.7977815e-03]\n [ 4.4364563e-01 -5.6887496e-02 5.8016962e-01 1.4232207e-04\n -4.7654412e-03 5.7977815e-03]\n [ 4.4364563e-01 -5.6887496e-02 5.8016962e-01 1.4232207e-04\n -4.7654412e-03 5.7977815e-03]]" | |
| }, | |
| "_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": "[[-0.0132405 0.10637856 0.05561024]\n [-0.06895059 -0.04658497 0.21453384]\n [ 0.11348439 -0.1296086 0.0466111 ]\n [-0.04464121 0.07178638 0.08048032]]", | |
| "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, | |
| "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 | |
| } |