a2c-PandaReachDense-v2 / config.json
jjlira's picture
Initial commit
ec5aa62
{"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 0x7f90cbd85f70>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f90cbd921c0>"}, "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": 1679201555384741753, "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": "[[0.4693466 0.00242109 0.4689012 ]\n [0.4693466 0.00242109 0.4689012 ]\n [0.4693466 0.00242109 0.4689012 ]\n [0.4693466 0.00242109 0.4689012 ]]", "desired_goal": "[[ 1.2807566 -0.58194387 -1.1800678 ]\n [ 1.3485779 -1.6044815 -0.88487536]\n [-1.7016804 -1.5491087 0.4185023 ]\n [-1.1119139 1.4711305 -0.5523101 ]]", "observation": "[[ 0.4693466 0.00242109 0.4689012 0.00538305 -0.00381034 0.00147927]\n [ 0.4693466 0.00242109 0.4689012 0.00538305 -0.00381034 0.00147927]\n [ 0.4693466 0.00242109 0.4689012 0.00538305 -0.00381034 0.00147927]\n [ 0.4693466 0.00242109 0.4689012 0.00538305 -0.00381034 0.00147927]]"}, "_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": "[[ 0.02040344 0.0658631 0.03484113]\n [ 0.14888184 0.12078311 0.25843194]\n [-0.12843134 0.09263022 0.26631808]\n [ 0.01659584 0.1369107 0.08838494]]", "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": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}}