a2c-PandaReachDense-v2 / config.json
AngelUrq's picture
Initial commit
2fedce0
{"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 0x7f9c7a21d550>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f9c7a21f340>"}, "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": 300000, "_total_timesteps": 300000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1680045888659926441, "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": "[[ 0.3864585 -0.01919421 0.5384595 ]\n [ 0.3864585 -0.01919421 0.5384595 ]\n [ 0.3864585 -0.01919421 0.5384595 ]\n [ 0.3864585 -0.01919421 0.5384595 ]]", "desired_goal": "[[ 1.6237066 0.3569698 -1.3356016 ]\n [-1.1775073 -0.02554452 -1.1439972 ]\n [ 0.2629228 -1.0931106 -0.08159108]\n [-0.61422575 -0.05143781 -1.2152846 ]]", "observation": "[[ 0.3864585 -0.01919421 0.5384595 -0.00804272 -0.00295437 0.00070411]\n [ 0.3864585 -0.01919421 0.5384595 -0.00804272 -0.00295437 0.00070411]\n [ 0.3864585 -0.01919421 0.5384595 -0.00804272 -0.00295437 0.00070411]\n [ 0.3864585 -0.01919421 0.5384595 -0.00804272 -0.00295437 0.00070411]]"}, "_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": "[[-0.12088256 -0.11806684 0.00730275]\n [ 0.10364266 0.01743654 0.09160355]\n [-0.00706082 0.13659479 0.04375054]\n [-0.0147381 0.05322603 0.10171039]]", "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": 15000, "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"}}