a2c-PandaReachDense-v2 / config.json
gokuls's picture
Initial commit
a7cc904
{"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 0x7fd209989790>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fd209a00e10>"}, "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": 1108800, "_total_timesteps": 2000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1677900721350520311, "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": "[[ 0.45745087 -0.01683199 0.48279297]\n [ 0.45745087 -0.01683199 0.48279297]\n [ 0.45745087 -0.01683199 0.48279297]\n [ 0.45745087 -0.01683199 0.48279297]]", "desired_goal": "[[-1.4247605 -1.3546225 -1.7154032 ]\n [-0.9327837 0.16445401 0.5138468 ]\n [-1.5717478 -0.4129258 0.5839162 ]\n [ 0.14542148 -0.980672 0.63798696]]", "observation": "[[ 0.45745087 -0.01683199 0.48279297 0.01419411 -0.00182296 0.01039242]\n [ 0.45745087 -0.01683199 0.48279297 0.01419411 -0.00182296 0.01039242]\n [ 0.45745087 -0.01683199 0.48279297 0.01419411 -0.00182296 0.01039242]\n [ 0.45745087 -0.01683199 0.48279297 0.01419411 -0.00182296 0.01039242]]"}, "_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": "[[ 0.04642858 0.1430494 0.06630041]\n [-0.02508472 -0.06190898 0.26039076]\n [-0.08161572 -0.14782016 0.06050443]\n [ 0.1075125 -0.06261303 0.09941611]]", "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": 0.4456, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVHRAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIEQAce/bcAcCUhpRSlIwBbJRLMowBdJRHQLCaoBmwqy51fZQoaAZoCWgPQwi3Q8Ni1LUCwJSGlFKUaBVLMmgWR0CwmmuEh7mddX2UKGgGaAloD0MI0GT/PA1Y+7+UhpRSlGgVSzJoFkdAsJo+3Td+HHV9lChoBmgJaA9DCFk2c0hq4fC/lIaUUpRoFUsyaBZHQLCaEFCb+cZ1fZQoaAZoCWgPQwjZzYx+NBzqv5SGlFKUaBVLMmgWR0Cwm38KohpydX2UKGgGaAloD0MIXFSLiGIy/b+UhpRSlGgVSzJoFkdAsJtLehwl0HV9lChoBmgJaA9DCCC3Xz5ZEQLAlIaUUpRoFUsyaBZHQLCbH114gRt1fZQoaAZoCWgPQwiMu0G0VrTcv5SGlFKUaBVLMmgWR0CwmvGepXIVdX2UKGgGaAloD0MI8+hGWFRE8b+UhpRSlGgVSzJoFkdAsJyXxlQMyHV9lChoBmgJaA9DCKGePgJ/eOq/lIaUUpRoFUsyaBZHQLCcY8JD3M91fZQoaAZoCWgPQwg34PPDCKEDwJSGlFKUaBVLMmgWR0CwnDfovBacdX2UKGgGaAloD0MILESHwJFA9L+UhpRSlGgVSzJoFkdAsJwKGmDUVnV9lChoBmgJaA9DCO1+FeC7Df2/lIaUUpRoFUsyaBZHQLCdxD0UXYV1fZQoaAZoCWgPQwi1VN6OcFrbv5SGlFKUaBVLMmgWR0CwnZBXr+o+dX2UKGgGaAloD0MI88mK4epA9L+UhpRSlGgVSzJoFkdAsJ1kS/TLGXV9lChoBmgJaA9DCEZcABqli/m/lIaUUpRoFUsyaBZHQLCdNjM3ZPF1fZQoaAZoCWgPQwhB9KRMamj4v5SGlFKUaBVLMmgWR0CwnvFyJbdKdX2UKGgGaAloD0MIaoR+pl738b+UhpRSlGgVSzJoFkdAsJ69rvb48HV9lChoBmgJaA9DCEPlX8srV/S/lIaUUpRoFUsyaBZHQLCekcFQl8h1fZQoaAZoCWgPQwiLOJ1kq0v7v5SGlFKUaBVLMmgWR0CwnmPNJOFhdX2UKGgGaAloD0MI5bUSukuCBMCUhpRSlGgVSzJoFkdAsKAiRYA80XV9lChoBmgJaA9DCI6xE16Ck/G/lIaUUpRoFUsyaBZHQLCf7oZhrnF1fZQoaAZoCWgPQwj1E85uLRPqv5SGlFKUaBVLMmgWR0Cwn8KBNEgGdX2UKGgGaAloD0MIUfUrnQ8PB8CUhpRSlGgVSzJoFkdAsJ+UmE4//3V9lChoBmgJaA9DCJ3X2CWq9/W/lIaUUpRoFUsyaBZHQLCg6POIInl1fZQoaAZoCWgPQwgibk4lAyADwJSGlFKUaBVLMmgWR0CwoLR33YcvdX2UKGgGaAloD0MIOJ7PgHpz+b+UhpRSlGgVSzJoFkdAsKCH05EMLHV9lChoBmgJaA9DCLUZpyGqEALAlIaUUpRoFUsyaBZHQLCgWUN8VpN1fZQoaAZoCWgPQwg2Bp0QOqj6v5SGlFKUaBVLMmgWR0CwoZA/1QIldX2UKGgGaAloD0MIO1W+ZyRC7r+UhpRSlGgVSzJoFkdAsKFbyc0+DHV9lChoBmgJaA9DCAH8U6pE2eO/lIaUUpRoFUsyaBZHQLChLyuIRAd1fZQoaAZoCWgPQwhv9DEfEOj5v5SGlFKUaBVLMmgWR0CwoQCYTj//dX2UKGgGaAloD0MIU5W2uMZn/b+UhpRSlGgVSzJoFkdAsKI8eeWfLHV9lChoBmgJaA9DCCuhuyTOagbAlIaUUpRoFUsyaBZHQLCiCBWgezV1fZQoaAZoCWgPQwjvHwvRIXD4v5SGlFKUaBVLMmgWR0Cwodty925hdX2UKGgGaAloD0MI4V8EjZnE+L+UhpRSlGgVSzJoFkdAsKGs4VARkHV9lChoBmgJaA9DCCNli6TdaOy/lIaUUpRoFUsyaBZHQLCi6FhXr+p1fZQoaAZoCWgPQwhxIY/gRkoJwJSGlFKUaBVLMmgWR0CworPf8/D+dX2UKGgGaAloD0MIRgn6Cz1i6r+UhpRSlGgVSzJoFkdAsKKHO4XoDHV9lChoBmgJaA9DCNIdxM4Uuu2/lIaUUpRoFUsyaBZHQLCiWLDQ7cR1fZQoaAZoCWgPQwh1dcdimxQCwJSGlFKUaBVLMmgWR0Cwo4/bTMJQdX2UKGgGaAloD0MILXqnAu65/r+UhpRSlGgVSzJoFkdAsKNbTjNpunV9lChoBmgJaA9DCPBQFOgTOfK/lIaUUpRoFUsyaBZHQLCjLqj8DSx1fZQoaAZoCWgPQwhlcmpnmFrxv5SGlFKUaBVLMmgWR0CwowAZsKsudX2UKGgGaAloD0MIFY21v7N99b+UhpRSlGgVSzJoFkdAsKQ/hfjS5XV9lChoBmgJaA9DCJAwDFhyNQjAlIaUUpRoFUsyaBZHQLCkCvjwQUZ1fZQoaAZoCWgPQwiIgEOoUjPpv5SGlFKUaBVLMmgWR0Cwo95YHPeIdX2UKGgGaAloD0MIMq8jDtnA77+UhpRSlGgVSzJoFkdAsKOv2K2rn3V9lChoBmgJaA9DCCl64GOwYv+/lIaUUpRoFUsyaBZHQLCk5vm5lOJ1fZQoaAZoCWgPQwi95erHJvkAwJSGlFKUaBVLMmgWR0CwpLJ9d/rjdX2UKGgGaAloD0MIMPZefNEe4r+UhpRSlGgVSzJoFkdAsKSF5mh/RXV9lChoBmgJaA9DCEayR6gZ8gDAlIaUUpRoFUsyaBZHQLCkV1v2oNx1fZQoaAZoCWgPQwhlxAWgUfoHwJSGlFKUaBVLMmgWR0CwpZSI55qudX2UKGgGaAloD0MIXTP5ZpubA8CUhpRSlGgVSzJoFkdAsKVf961LJ3V9lChoBmgJaA9DCHhHxmrzfwzAlIaUUpRoFUsyaBZHQLClM1Z1V5t1fZQoaAZoCWgPQwj3kzE+zD4EwJSGlFKUaBVLMmgWR0CwpQTJuEVWdX2UKGgGaAloD0MIWwndJXHWAcCUhpRSlGgVSzJoFkdAsKY/fLs8gnV9lChoBmgJaA9DCPNV8rG7QALAlIaUUpRoFUsyaBZHQLCmCvugHu91fZQoaAZoCWgPQwgDXfsCeuH/v5SGlFKUaBVLMmgWR0Cwpd53PiT/dX2UKGgGaAloD0MIiSgmb4B5CMCUhpRSlGgVSzJoFkdAsKWv779AHHV9lChoBmgJaA9DCLyQDg9h/P+/lIaUUpRoFUsyaBZHQLCm6+sHSnd1fZQoaAZoCWgPQwh3gZICCyD7v5SGlFKUaBVLMmgWR0CwprdzfaYedX2UKGgGaAloD0MIU3jQ7Lr3AcCUhpRSlGgVSzJoFkdAsKaK22G7BnV9lChoBmgJaA9DCMJqLGFtTPi/lIaUUpRoFUsyaBZHQLCmXFvAGjd1fZQoaAZoCWgPQwjkTulg/d/4v5SGlFKUaBVLMmgWR0Cwp5S4J/oadX2UKGgGaAloD0MIaverAN8t/7+UhpRSlGgVSzJoFkdAsKdgP8Q7LnV9lChoBmgJaA9DCIuH9xxYTvm/lIaUUpRoFUsyaBZHQLCnM4zJp351fZQoaAZoCWgPQwgf2PFfIIj6v5SGlFKUaBVLMmgWR0CwpwT3M6ikdX2UKGgGaAloD0MIbamDvB6M87+UhpRSlGgVSzJoFkdAsKhCjcmBv3V9lChoBmgJaA9DCCTvHMpQlQfAlIaUUpRoFUsyaBZHQLCoDiR4hU11fZQoaAZoCWgPQwiJ0XMLXQnyv5SGlFKUaBVLMmgWR0Cwp+GDpTuOdX2UKGgGaAloD0MItYzUeyqn6L+UhpRSlGgVSzJoFkdAsKey6z3RHHV9lChoBmgJaA9DCENZ+Ppa1wLAlIaUUpRoFUsyaBZHQLCo7QTmGM51fZQoaAZoCWgPQwgxmSoYlVTmv5SGlFKUaBVLMmgWR0CwqLiUPhAGdX2UKGgGaAloD0MIsFbtmpBWCMCUhpRSlGgVSzJoFkdAsKiL+DOC5HV9lChoBmgJaA9DCCvc8pGU9P2/lIaUUpRoFUsyaBZHQLCoXXsgMc91fZQoaAZoCWgPQwjxLhfxnRgAwJSGlFKUaBVLMmgWR0CwqZfReC04dX2UKGgGaAloD0MIhuelYmN+AsCUhpRSlGgVSzJoFkdAsKljVCojwHV9lChoBmgJaA9DCNEfmnlyLQrAlIaUUpRoFUsyaBZHQLCpNrIYFaB1fZQoaAZoCWgPQwi7trdbkqMCwJSGlFKUaBVLMmgWR0CwqQglSjxkdX2UKGgGaAloD0MIf0+sU+U7BsCUhpRSlGgVSzJoFkdAsKpA5n13+3V9lChoBmgJaA9DCCXpmsk3uwPAlIaUUpRoFUsyaBZHQLCqDHQhOgx1fZQoaAZoCWgPQwjedMsO8W8KwJSGlFKUaBVLMmgWR0Cwqd/YjB2wdX2UKGgGaAloD0MI8DFYcap1+7+UhpRSlGgVSzJoFkdAsKmxRyfcvnV9lChoBmgJaA9DCIKufQG98AHAlIaUUpRoFUsyaBZHQLCrSlV94NZ1fZQoaAZoCWgPQwjhKeRKPcv9v5SGlFKUaBVLMmgWR0CwqxZbyH2zdX2UKGgGaAloD0MIURToE3lS9L+UhpRSlGgVSzJoFkdAsKrqRuCPIXV9lChoBmgJaA9DCEg3wqIiDvu/lIaUUpRoFUsyaBZHQLCqvD63y7R1fZQoaAZoCWgPQwiMLJljeVf2v5SGlFKUaBVLMmgWR0CwrGnuAqd6dX2UKGgGaAloD0MIOllqvd9IB8CUhpRSlGgVSzJoFkdAsKw2FcpsoHV9lChoBmgJaA9DCBtLWBtjp/W/lIaUUpRoFUsyaBZHQLCsCjCpFTh1fZQoaAZoCWgPQwjXv+szZ70KwJSGlFKUaBVLMmgWR0Cwq9xhYvFndX2UKGgGaAloD0MIHVpkO9/P6L+UhpRSlGgVSzJoFkdAsK2UiA2AG3V9lChoBmgJaA9DCJS/e0eNSfK/lIaUUpRoFUsyaBZHQLCtYL39JjF1fZQoaAZoCWgPQwgbDeAtkGAFwJSGlFKUaBVLMmgWR0CwrTS48U22dX2UKGgGaAloD0MI9KYiFcYWBMCUhpRSlGgVSzJoFkdAsK0G2qkuYnV9lChoBmgJaA9DCOQtVz82CfG/lIaUUpRoFUsyaBZHQLCuvAZKnNx1fZQoaAZoCWgPQwj8ijVc5N4BwJSGlFKUaBVLMmgWR0CwrogWnCO4dX2UKGgGaAloD0MIqWqCqPtA+L+UhpRSlGgVSzJoFkdAsK5cHzH0b3V9lChoBmgJaA9DCIVBmUaTS/m/lIaUUpRoFUsyaBZHQLCuLiy6cy51ZS4="}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 55439, "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, "system_info": {"OS": "Linux-5.10.147+-x86_64-with-glibc2.29 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.8.10", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "False", "Numpy": "1.22.4", "Gym": "0.21.0"}}