a2c-PandaReachDense-v2 / config.json
marcos995's picture
Initial commit
c16b190
{"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 0x7f6eb2faf0d0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f6eb2fac880>"}, "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": 1500000, "_total_timesteps": 1500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1680112162944727242, "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": "[[ 0.41713747 -0.03507319 0.60943663]\n [ 0.41713747 -0.03507319 0.60943663]\n [ 0.41713747 -0.03507319 0.60943663]\n [ 0.41713747 -0.03507319 0.60943663]]", "desired_goal": "[[ 1.1216202 -1.679199 -0.7507559 ]\n [-1.5262891 -0.62322927 0.63449657]\n [-1.2174426 -0.13467517 1.2667269 ]\n [-0.6216441 1.6638435 1.3670034 ]]", "observation": "[[ 0.41713747 -0.03507319 0.60943663 0.00891429 -0.00443037 0.01479966]\n [ 0.41713747 -0.03507319 0.60943663 0.00891429 -0.00443037 0.01479966]\n [ 0.41713747 -0.03507319 0.60943663 0.00891429 -0.00443037 0.01479966]\n [ 0.41713747 -0.03507319 0.60943663 0.00891429 -0.00443037 0.01479966]]"}, "_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////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAATyfvveWmPD11gik9/DQVPkx56L1Zepg+ldH5vb+fIL0IGyc+k2n0vSUCbj1r47Q9lGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWYAAAAAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAADqch09GWwarEMjSj4AAAAAAAAAgAAAAACUaA5LBEsGhpRoEnSUUpR1Lg==", "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": "[[-0.11677419 0.0460576 0.04138418]\n [ 0.14570993 -0.11351261 0.29780844]\n [-0.12198178 -0.03921485 0.16318905]\n [-0.11934199 0.05810751 0.08832439]]", "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": 75000, "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"}}