a2c-PandaReachDense-v2 / config.json
johnhudzinatr's picture
Initial commit
3511d10
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": 1675637544729642610, "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": "[[ 0.3906241 -0.02191113 0.5216492 ]\n [ 0.3906241 -0.02191113 0.5216492 ]\n [ 0.3906241 -0.02191113 0.5216492 ]\n [ 0.3906241 -0.02191113 0.5216492 ]]", "desired_goal": "[[ 0.9839848 -1.6990985 0.40375718]\n [-0.15541999 -1.1929824 1.3344681 ]\n [-1.1945136 -1.033481 0.64051574]\n [ 0.921189 -0.25694507 1.0923162 ]]", "observation": "[[ 0.3906241 -0.02191113 0.5216492 -0.01222556 -0.00257167 -0.00857959]\n [ 0.3906241 -0.02191113 0.5216492 -0.01222556 -0.00257167 -0.00857959]\n [ 0.3906241 -0.02191113 0.5216492 -0.01222556 -0.00257167 -0.00857959]\n [ 0.3906241 -0.02191113 0.5216492 -0.01222556 -0.00257167 -0.00857959]]"}, "_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": "[[ 0.13778439 -0.02178581 0.02369366]\n [-0.07284086 0.07716347 0.24153747]\n [ 0.04901032 0.04342033 0.08685933]\n [ 0.1107906 -0.12734851 0.07296262]]", "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-glibc2.29 # 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"}}