a2c-PandaReachDense-v2 / config.json
FranEnguix's picture
Initial commit
9f34c27
{"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 0x7fb27cd3d1f0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7fb27cd3c340>"}, "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:": "gAWVbQEAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLA4WUjANsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWDAAAAAAAAAAAAIC/AACAvwAAgL+UaApLA4WUjAFDlHSUUpSMBGhpZ2iUaBIolgwAAAAAAAAAAACAPwAAgD8AAIA/lGgKSwOFlGgVdJRSlIwNYm91bmRlZF9iZWxvd5RoEiiWAwAAAAAAAAABAQGUaAeMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLA4WUaBV0lFKUjA1ib3VuZGVkX2Fib3ZllGgSKJYDAAAAAAAAAAEBAZRoIUsDhZRoFXSUUpSMCl9ucF9yYW5kb22UTnViLg==", "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": 1680955293991428650, "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": "[[ 0.43372995 -0.00220972 0.54616845]\n [ 0.43372995 -0.00220972 0.54616845]\n [ 0.43372995 -0.00220972 0.54616845]\n [ 0.43372995 -0.00220972 0.54616845]]", "desired_goal": "[[-0.81256086 0.28392938 -1.5996547 ]\n [ 0.9706749 0.27533 1.1820946 ]\n [-0.7042676 -0.36303794 0.256519 ]\n [ 0.7104018 0.09409782 -0.14119984]]", "observation": "[[ 0.43372995 -0.00220972 0.54616845 0.00904914 -0.00419276 0.00438084]\n [ 0.43372995 -0.00220972 0.54616845 0.00904914 -0.00419276 0.00438084]\n [ 0.43372995 -0.00220972 0.54616845 0.00904914 -0.00419276 0.00438084]\n [ 0.43372995 -0.00220972 0.54616845 0.00904914 -0.00419276 0.00438084]]"}, "_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": "[[-0.14275582 0.14741927 0.08941533]\n [-0.05041393 -0.06174847 0.18786067]\n [ 0.09954812 -0.08751155 0.02394153]\n [-0.12848783 0.03231605 0.20113978]]", "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, "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": "1.7.0", "PyTorch": "2.0.0+cu118", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}}