a2c-PandaReachDense-v2 / config.json
ghassenhannachi's picture
Initial commit
d4ce729
raw
history blame
15.5 kB
{"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 0x7fa665287f70>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7fa66528b040>"}, "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:": "gAWVUgMAAAAAAACMD2d5bS5zcGFjZXMuZGljdJSMBERpY3SUk5QpgZR9lCiMBnNwYWNlc5SMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwOZ3ltLnNwYWNlcy5ib3iUjANCb3iUk5QpgZR9lCiMBWR0eXBllIwFbnVtcHmUaBCTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowGX3NoYXBllEsDhZSMA2xvd5SMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYMAAAAAAAAAAAAIMEAACDBAAAgwZRoFUsDhZSMAUOUdJRSlIwEaGlnaJRoHSiWDAAAAAAAAAAAACBBAAAgQQAAIEGUaBVLA4WUaCB0lFKUjA1ib3VuZGVkX2JlbG93lGgdKJYDAAAAAAAAAAEBAZRoEowCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksDhZRoIHSUUpSMDWJvdW5kZWRfYWJvdmWUaB0olgMAAAAAAAAAAQEBlGgsSwOFlGggdJRSlIwKX25wX3JhbmRvbZROdWKMDGRlc2lyZWRfZ29hbJRoDSmBlH2UKGgQaBVoGEsDhZRoGmgdKJYMAAAAAAAAAAAAIMEAACDBAAAgwZRoFUsDhZRoIHSUUpRoI2gdKJYMAAAAAAAAAAAAIEEAACBBAAAgQZRoFUsDhZRoIHSUUpRoKGgdKJYDAAAAAAAAAAEBAZRoLEsDhZRoIHSUUpRoMmgdKJYDAAAAAAAAAAEBAZRoLEsDhZRoIHSUUpRoN051YowLb2JzZXJ2YXRpb26UaA0pgZR9lChoEGgVaBhLBoWUaBpoHSiWGAAAAAAAAAAAACDBAAAgwQAAIMEAACDBAAAgwQAAIMGUaBVLBoWUaCB0lFKUaCNoHSiWGAAAAAAAAAAAACBBAAAgQQAAIEEAACBBAAAgQQAAIEGUaBVLBoWUaCB0lFKUaChoHSiWBgAAAAAAAAABAQEBAQGUaCxLBoWUaCB0lFKUaDJoHSiWBgAAAAAAAAABAQEBAQGUaCxLBoWUaCB0lFKUaDdOdWJ1aBhOaBBOaDdOdWIu", "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": 900000, "_total_timesteps": 900000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1680189968850788396, "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": "[[ 0.48613772 -0.03765838 0.5705776 ]\n [ 0.48613772 -0.03765838 0.5705776 ]\n [ 0.48613772 -0.03765838 0.5705776 ]\n [ 0.48613772 -0.03765838 0.5705776 ]]", "desired_goal": "[[ 0.78242385 -1.0666296 -0.8474511 ]\n [-0.36053437 -0.36157912 1.1448039 ]\n [ 0.55538255 0.26437065 -1.2550927 ]\n [ 0.12057667 -0.10225648 0.7481575 ]]", "observation": "[[ 0.48613772 -0.03765838 0.5705776 -0.00558951 -0.00066463 -0.0092239 ]\n [ 0.48613772 -0.03765838 0.5705776 -0.00558951 -0.00066463 -0.0092239 ]\n [ 0.48613772 -0.03765838 0.5705776 -0.00558951 -0.00066463 -0.0092239 ]\n [ 0.48613772 -0.03765838 0.5705776 -0.00558951 -0.00066463 -0.0092239 ]]"}, "_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": "[[-0.05700141 0.12644741 0.17721884]\n [ 0.05546401 0.04686484 0.14217101]\n [-0.00786585 0.14532347 0.12359436]\n [ 0.01318206 -0.03658061 0.25064155]]", "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": 45000, "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"}}