a2c-PandaReachDense-v2 / config.json
johnhudzinatr's picture
Initial commit
953a46e
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 0x7f885c798dc0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f885c797480>"}, "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": 1675640919820356048, "learning_rate": 0.001, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAAGFQjPwmotLzltCk/GFQjPwmotLzltCk/GFQjPwmotLzltCk/GFQjPwmotLzltCk/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAAnQrwPAHHjj+s/ji/JTrVP0ruFLzG0K6+cO3TPmefkL9jW3G/ACqDvza8bL9QzCa+lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAAAYVCM/Cai0vOW0KT9zXKU8oSeeOix90jwYVCM/Cai0vOW0KT9zXKU8oSeeOix90jwYVCM/Cai0vOW0KT9zXKU8oSeeOix90jwYVCM/Cai0vOW0KT9zXKU8oSeeOix90jyUaA5LBEsGhpRoEnSUUpR1Lg==", "achieved_goal": "[[ 0.6380019 -0.02205278 0.6629165 ]\n [ 0.6380019 -0.02205278 0.6629165 ]\n [ 0.6380019 -0.02205278 0.6629165 ]\n [ 0.6380019 -0.02205278 0.6629165 ]]", "desired_goal": "[[ 0.02930194 1.1154481 -0.722636 ]\n [ 1.6658369 -0.00909002 -0.34143656]\n [ 0.41392088 -1.1298646 -0.9428007 ]\n [-1.0247192 -0.9247469 -0.16288877]]", "observation": "[[ 0.6380019 -0.02205278 0.6629165 0.02018568 0.00120663 0.02569445]\n [ 0.6380019 -0.02205278 0.6629165 0.02018568 0.00120663 0.02569445]\n [ 0.6380019 -0.02205278 0.6629165 0.02018568 0.00120663 0.02569445]\n [ 0.6380019 -0.02205278 0.6629165 0.02018568 0.00120663 0.02569445]]"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAEBAQGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="}, "_last_original_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "gAWVuwEAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAA6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+6nIdPRlsGqxDI0o+lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAASmayvUBYe71L3ko8JsYRvomVvrzMlIg+ta2iPfbxLbyE6oQ+n84GPo8sbD1DO7A9lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAACUaA5LBEsGhpRoEnSUUpR1Lg==", "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": "[[-0.08710916 -0.06136346 0.0123821 ]\n [-0.14235744 -0.02326466 0.26676023]\n [ 0.07943288 -0.01061677 0.2596017 ]\n [ 0.13164757 0.05765968 0.08605053]]", "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": 0.95, "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": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}