{ "policy_class": { ":type:": "", ":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__": "", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f1617cb1c40>" }, "verbose": 1, "policy_kwargs": { ":type:": "", ":serialized:": "gAWVgQAAAAAAAAB9lCiMD29wdGltaXplcl9jbGFzc5SME3RvcmNoLm9wdGltLnJtc3Byb3CUjAdSTVNwcm9wlJOUjBBvcHRpbWl6ZXJfa3dhcmdzlH2UKIwFYWxwaGGURz/vrhR64UeujANlcHOURz7k+LWI42jxjAx3ZWlnaHRfZGVjYXmUSwB1dS4=", "optimizer_class": "", "optimizer_kwargs": { "alpha": 0.99, "eps": 1e-05, "weight_decay": 0 } }, "num_timesteps": 1200000, "_total_timesteps": 1200000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1685765837253442008, "learning_rate": 0.0007, "tensorboard_log": null, "lr_schedule": { ":type:": "", ":serialized:": "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" }, "_last_obs": { ":type:": "", ":serialized:": "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", "achieved_goal": "[[0.40554136 0.01660269 0.51824164]\n [0.40554136 0.01660269 0.51824164]\n [0.40554136 0.01660269 0.51824164]\n [0.40554136 0.01660269 0.51824164]]", "desired_goal": "[[ 0.03040605 0.511419 1.665078 ]\n [-0.15128121 0.1991661 0.49876857]\n [-1.1736529 0.7198671 -1.6952679 ]\n [ 0.16063498 0.07906384 0.1549165 ]]", "observation": "[[4.0554136e-01 1.6602689e-02 5.1824164e-01 1.6876424e-02 8.8078894e-05\n 1.3947024e-02]\n [4.0554136e-01 1.6602689e-02 5.1824164e-01 1.6876424e-02 8.8078894e-05\n 1.3947024e-02]\n [4.0554136e-01 1.6602689e-02 5.1824164e-01 1.6876424e-02 8.8078894e-05\n 1.3947024e-02]\n [4.0554136e-01 1.6602689e-02 5.1824164e-01 1.6876424e-02 8.8078894e-05\n 1.3947024e-02]]" }, "_last_episode_starts": { ":type:": "", ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAEBAQGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg==" }, "_last_original_obs": { ":type:": "", ":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": "[[ 0.10792665 0.13496089 0.12686868]\n [ 0.02720722 0.1101656 0.28622338]\n [ 0.04860842 -0.13584149 0.0444578 ]\n [-0.13412818 -0.00329715 0.19416937]]", "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:": "", ":serialized:": "gAWVHRAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIGmoUkswqEcCUhpRSlIwBbJRLMowBdJRHQKuwJayrxRV1fZQoaAZoCWgPQwiCUx9I3pkewJSGlFKUaBVLMmgWR0Crr+Y+jdpJdX2UKGgGaAloD0MI0CueeqRBCMCUhpRSlGgVSzJoFkdAq6+lEkSmInV9lChoBmgJaA9DCPoOfuIAahHAlIaUUpRoFUsyaBZHQKuvUx6fJ3h1fZQoaAZoCWgPQwigGFkyx9IMwJSGlFKUaBVLMmgWR0CrsRNahYeUdX2UKGgGaAloD0MIM05DVOHfEMCUhpRSlGgVSzJoFkdAq7DUHGCI13V9lChoBmgJaA9DCJC/tKhPMhjAlIaUUpRoFUsyaBZHQKuwkzcAR051fZQoaAZoCWgPQwjUnpJzYh8VwJSGlFKUaBVLMmgWR0CrsEFOoHcDdX2UKGgGaAloD0MI9WVpp+bCF8CUhpRSlGgVSzJoFkdAq7IGGEf1YnV9lChoBmgJaA9DCJ3y6EZYdBHAlIaUUpRoFUsyaBZHQKuxxph4MWp1fZQoaAZoCWgPQwjcKR2s/4MSwJSGlFKUaBVLMmgWR0CrsYVb7j1gdX2UKGgGaAloD0MIC0eQSrEDE8CUhpRSlGgVSzJoFkdAq7EzV4HHFXV9lChoBmgJaA9DCGwldJfE+QzAlIaUUpRoFUsyaBZHQKuy9lGPPs11fZQoaAZoCWgPQwjjjcwjfzAWwJSGlFKUaBVLMmgWR0CrsrcjJMg2dX2UKGgGaAloD0MIkYDR5c1BFcCUhpRSlGgVSzJoFkdAq7J2Bg/kenV9lChoBmgJaA9DCGppboWwOhHAlIaUUpRoFUsyaBZHQKuyJE4Nqg11fZQoaAZoCWgPQwhe86rOajERwJSGlFKUaBVLMmgWR0Crs+hf8dgfdX2UKGgGaAloD0MIrG9gcqOoEcCUhpRSlGgVSzJoFkdAq7OpBsyi23V9lChoBmgJaA9DCKvnpPeNHxbAlIaUUpRoFUsyaBZHQKuzZ9JjDsN1fZQoaAZoCWgPQwg2AvG6fhETwJSGlFKUaBVLMmgWR0CrsxXpOerddX2UKGgGaAloD0MICVG+oIU0FMCUhpRSlGgVSzJoFkdAq7TPHJcPfHV9lChoBmgJaA9DCI5aYfpe0xzAlIaUUpRoFUsyaBZHQKu0j9G7SRd1fZQoaAZoCWgPQwhZ+tAF9R0VwJSGlFKUaBVLMmgWR0CrtE6unuRcdX2UKGgGaAloD0MIbNECtK2GG8CUhpRSlGgVSzJoFkdAq7P9OwgTy3V9lChoBmgJaA9DCIY3a/C+WhzAlIaUUpRoFUsyaBZHQKu1vWH1vl51fZQoaAZoCWgPQwgI51PHKoUZwJSGlFKUaBVLMmgWR0CrtX5fUnXvdX2UKGgGaAloD0MIvqHw2TpoE8CUhpRSlGgVSzJoFkdAq7U9fsu3+nV9lChoBmgJaA9DCDQQy2YOyQrAlIaUUpRoFUsyaBZHQKu06/cFhXt1fZQoaAZoCWgPQwg34V6Zt6oKwJSGlFKUaBVLMmgWR0CrtqBNEgGKdX2UKGgGaAloD0MIgGWlSSl4IsCUhpRSlGgVSzJoFkdAq7ZhaHKwIXV9lChoBmgJaA9DCAtjC0EOehfAlIaUUpRoFUsyaBZHQKu2IOwxFiN1fZQoaAZoCWgPQwjWHvZCASsYwJSGlFKUaBVLMmgWR0CrtdAmqo60dX2UKGgGaAloD0MIU9DtJY1RDsCUhpRSlGgVSzJoFkdAq7ed2Pkq+nV9lChoBmgJaA9DCPYjRWRYdRrAlIaUUpRoFUsyaBZHQKu3XqO938p1fZQoaAZoCWgPQwhsrwW9N8YNwJSGlFKUaBVLMmgWR0Crtx3MQmNSdX2UKGgGaAloD0MImz3QCgx5EcCUhpRSlGgVSzJoFkdAq7bL7CSA6XV9lChoBmgJaA9DCHb6QV2kEArAlIaUUpRoFUsyaBZHQKu4nj5sTFl1fZQoaAZoCWgPQwg+k/3zNBAUwJSGlFKUaBVLMmgWR0CruF7Ou7pWdX2UKGgGaAloD0MIZRcMrrnjBMCUhpRSlGgVSzJoFkdAq7gd1+y7gHV9lChoBmgJaA9DCJHUQsnkdA3AlIaUUpRoFUsyaBZHQKu3zANXo1V1fZQoaAZoCWgPQwhblNkgk5wVwJSGlFKUaBVLMmgWR0CruZpA+pwTdX2UKGgGaAloD0MIz2kWaHfoDcCUhpRSlGgVSzJoFkdAq7lbRtxdZHV9lChoBmgJaA9DCLgDdcqjWxLAlIaUUpRoFUsyaBZHQKu5Gig00nB1fZQoaAZoCWgPQwj2Rq0wfR8WwJSGlFKUaBVLMmgWR0CruMgyuZCwdX2UKGgGaAloD0MIQN1AgXdyD8CUhpRSlGgVSzJoFkdAq7qTXQMQVnV9lChoBmgJaA9DCMcOKnEd4wjAlIaUUpRoFUsyaBZHQKu6U/oq0+l1fZQoaAZoCWgPQwjK+s3EdLERwJSGlFKUaBVLMmgWR0CruhL3j+72dX2UKGgGaAloD0MI1gJ7TKQUD8CUhpRSlGgVSzJoFkdAq7nBJGvwE3V9lChoBmgJaA9DCKX3ja89EwHAlIaUUpRoFUsyaBZHQKu7rPdl/Yt1fZQoaAZoCWgPQwhU4GQbuEMXwJSGlFKUaBVLMmgWR0Cru245cTrWdX2UKGgGaAloD0MIGhh5WROrCcCUhpRSlGgVSzJoFkdAq7stOEdvKnV9lChoBmgJaA9DCCpvRzgteB7AlIaUUpRoFUsyaBZHQKu63GJemel1fZQoaAZoCWgPQwiYMJqV7TMTwJSGlFKUaBVLMmgWR0CrvKHH3lCDdX2UKGgGaAloD0MITz3S4LYmGsCUhpRSlGgVSzJoFkdAq7xid8RcvHV9lChoBmgJaA9DCGOYE7TJURXAlIaUUpRoFUsyaBZHQKu8IeSSvDB1fZQoaAZoCWgPQwiZnNoZpiYdwJSGlFKUaBVLMmgWR0Cru9AieNDMdX2UKGgGaAloD0MIb9bgfVUOEMCUhpRSlGgVSzJoFkdAq72jawljVnV9lChoBmgJaA9DCE3XE10XjhTAlIaUUpRoFUsyaBZHQKu9ZB7/n4h1fZQoaAZoCWgPQwj5o6gz90ATwJSGlFKUaBVLMmgWR0CrvSL0SRKZdX2UKGgGaAloD0MInff/ccLEHsCUhpRSlGgVSzJoFkdAq7zRJbt7bHV9lChoBmgJaA9DCEnYt5OIcBfAlIaUUpRoFUsyaBZHQKu+pi++M611fZQoaAZoCWgPQwjf/fFetWIQwJSGlFKUaBVLMmgWR0Crvmb6P8yfdX2UKGgGaAloD0MIkbWGUnvxIMCUhpRSlGgVSzJoFkdAq74ly5qdpnV9lChoBmgJaA9DCPzEAfT7Dh3AlIaUUpRoFUsyaBZHQKu91MEA5rB1fZQoaAZoCWgPQwgUX+0ozpkgwJSGlFKUaBVLMmgWR0Crv6yMtK7JdX2UKGgGaAloD0MICB9KtOQhFsCUhpRSlGgVSzJoFkdAq79tRzijtXV9lChoBmgJaA9DCBlYx/FDBRfAlIaUUpRoFUsyaBZHQKu/LC+De0p1fZQoaAZoCWgPQwjkTX6LTjYVwJSGlFKUaBVLMmgWR0Crvtpbt7a7dX2UKGgGaAloD0MI2xfQC3feJMCUhpRSlGgVSzJoFkdAq8C9utOmBXV9lChoBmgJaA9DCMB3mzdOOiDAlIaUUpRoFUsyaBZHQKvAfnDBMzx1fZQoaAZoCWgPQwisrdhfdp8ewJSGlFKUaBVLMmgWR0CrwD1EmY0EdX2UKGgGaAloD0MIuQA0SpcGIMCUhpRSlGgVSzJoFkdAq7/rSZ0CBHV9lChoBmgJaA9DCGstzEI7Rx3AlIaUUpRoFUsyaBZHQKvB4p2ECeV1fZQoaAZoCWgPQwgSbFz/riciwJSGlFKUaBVLMmgWR0CrwaRHf/FSdX2UKGgGaAloD0MIcov5uaEBJsCUhpRSlGgVSzJoFkdAq8FkgKWszXV9lChoBmgJaA9DCNKJBFPNzAXAlIaUUpRoFUsyaBZHQKvBE6MBIWh1fZQoaAZoCWgPQwhvEK0VbS4UwJSGlFKUaBVLMmgWR0Crw5p+2E00dX2UKGgGaAloD0MIBRps6jyiKMCUhpRSlGgVSzJoFkdAq8Nb7TDwY3V9lChoBmgJaA9DCI1g4/p3JSXAlIaUUpRoFUsyaBZHQKvDG9nscAB1fZQoaAZoCWgPQwiKrDWU2hsiwJSGlFKUaBVLMmgWR0Crwsw6ZH/cdX2UKGgGaAloD0MIJc0f09o0I8CUhpRSlGgVSzJoFkdAq8Uvk92X9nV9lChoBmgJaA9DCOuOxTap0CPAlIaUUpRoFUsyaBZHQKvE8QSSNfh1fZQoaAZoCWgPQwg5J/bQPkYtwJSGlFKUaBVLMmgWR0CrxLDXFtKqdX2UKGgGaAloD0MIhpDz/j9eFMCUhpRSlGgVSzJoFkdAq8Rf20zCUHV9lChoBmgJaA9DCJxvRPes+yfAlIaUUpRoFUsyaBZHQKvHARIz3yt1fZQoaAZoCWgPQwj4U+OlmyQjwJSGlFKUaBVLMmgWR0CrxsQV0tAcdX2UKGgGaAloD0MIn82qz9XmIsCUhpRSlGgVSzJoFkdAq8aDollbvHV9lChoBmgJaA9DCDJaR1UTnCLAlIaUUpRoFUsyaBZHQKvGM+RHPNV1fZQoaAZoCWgPQwjH2XQEcJMBwJSGlFKUaBVLMmgWR0CryQu09hZydX2UKGgGaAloD0MIGedvQiESKMCUhpRSlGgVSzJoFkdAq8jOTX8O1HV9lChoBmgJaA9DCIcVbvlImhfAlIaUUpRoFUsyaBZHQKvIjoZAIIF1fZQoaAZoCWgPQwjNyYtMwEchwJSGlFKUaBVLMmgWR0CryD9y1eBydX2UKGgGaAloD0MIL6UuGcfYI8CUhpRSlGgVSzJoFkdAq8rVdX1an3V9lChoBmgJaA9DCGDKwAEtpSXAlIaUUpRoFUsyaBZHQKvKlv4ubqh1fZQoaAZoCWgPQwhozvqUY+omwJSGlFKUaBVLMmgWR0CrylbTtsvadX2UKGgGaAloD0MILSP1nsrpLsCUhpRSlGgVSzJoFkdAq8oGDe0ojXV9lChoBmgJaA9DCPd0dcdiixPAlIaUUpRoFUsyaBZHQKvMn++/QBx1fZQoaAZoCWgPQwiaIsDpXQQlwJSGlFKUaBVLMmgWR0CrzGCeumrKdX2UKGgGaAloD0MIPRBZpIlHFsCUhpRSlGgVSzJoFkdAq8wf5rP+oHV9lChoBmgJaA9DCMJM27+yIiHAlIaUUpRoFUsyaBZHQKvLzkrf+CN1ZS4=" }, "ep_success_buffer": { ":type:": "", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" }, "_n_updates": 60000, "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:": "", ":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:": "", ":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 }