a2c-PandaReachDense-v2 / config.json
Max100ce's picture
Initial commit
d4e75e3
{"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 0x7f231c849670>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f231c848a80>"}, "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": 1678960730953118852, "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": "[[0.43338948 0.01926693 0.5486395 ]\n [0.43338948 0.01926693 0.5486395 ]\n [0.43338948 0.01926693 0.5486395 ]\n [0.43338948 0.01926693 0.5486395 ]]", "desired_goal": "[[-1.4980601 0.78898615 1.5524635 ]\n [ 0.8720152 0.87838906 -1.2276331 ]\n [-0.7870634 0.0506692 1.2031713 ]\n [ 1.1603739 1.5817035 0.0511671 ]]", "observation": "[[4.3338948e-01 1.9266931e-02 5.4863948e-01 9.3477350e-03 2.7197416e-04\n 2.2676450e-03]\n [4.3338948e-01 1.9266931e-02 5.4863948e-01 9.3477350e-03 2.7197416e-04\n 2.2676450e-03]\n [4.3338948e-01 1.9266931e-02 5.4863948e-01 9.3477350e-03 2.7197416e-04\n 2.2676450e-03]\n [4.3338948e-01 1.9266931e-02 5.4863948e-01 9.3477350e-03 2.7197416e-04\n 2.2676450e-03]]"}, "_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": "[[ 0.06065214 0.01338463 0.2069911 ]\n [-0.13002057 0.03806704 0.15558566]\n [-0.13628416 -0.04824343 0.17160767]\n [-0.03922225 -0.12387112 0.21740325]]", "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-5.19.0-35-generic-x86_64-with-glibc2.31 # 36~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Fri Feb 17 15:17:25 UTC 2", "Python": "3.9.16", "Stable-Baselines3": "1.7.0", "PyTorch": "2.0.0+cu117", "GPU Enabled": "False", "Numpy": "1.24.2", "Gym": "0.21.0"}}