a2c-PandaReachDense-v2 / config.json
Ransaka's picture
Changed LR and epochs
fdbe857
raw
history blame
No virus
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 0x7fcd6a9ddd30>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fcd6a9d9de0>"}, "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:": "gAWVUgMAAAAAAACMD2d5bS5zcGFjZXMuZGljdJSMBERpY3SUk5QpgZR9lCiMBnNwYWNlc5SMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwOZ3ltLnNwYWNlcy5ib3iUjANCb3iUk5QpgZR9lCiMBWR0eXBllIwFbnVtcHmUaBCTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowGX3NoYXBllEsDhZSMA2xvd5SMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYMAAAAAAAAAAAAIMEAACDBAAAgwZRoFUsDhZSMAUOUdJRSlIwEaGlnaJRoHSiWDAAAAAAAAAAAACBBAAAgQQAAIEGUaBVLA4WUaCB0lFKUjA1ib3VuZGVkX2JlbG93lGgdKJYDAAAAAAAAAAEBAZRoEowCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksDhZRoIHSUUpSMDWJvdW5kZWRfYWJvdmWUaB0olgMAAAAAAAAAAQEBlGgsSwOFlGggdJRSlIwKX25wX3JhbmRvbZROdWKMDGRlc2lyZWRfZ29hbJRoDSmBlH2UKGgQaBVoGEsDhZRoGmgdKJYMAAAAAAAAAAAAIMEAACDBAAAgwZRoFUsDhZRoIHSUUpRoI2gdKJYMAAAAAAAAAAAAIEEAACBBAAAgQZRoFUsDhZRoIHSUUpRoKGgdKJYDAAAAAAAAAAEBAZRoLEsDhZRoIHSUUpRoMmgdKJYDAAAAAAAAAAEBAZRoLEsDhZRoIHSUUpRoN051YowLb2JzZXJ2YXRpb26UaA0pgZR9lChoEGgVaBhLBoWUaBpoHSiWGAAAAAAAAAAAACDBAAAgwQAAIMEAACDBAAAgwQAAIMGUaBVLBoWUaCB0lFKUaCNoHSiWGAAAAAAAAAAAACBBAAAgQQAAIEEAACBBAAAgQQAAIEGUaBVLBoWUaCB0lFKUaChoHSiWBgAAAAAAAAABAQEBAQGUaCxLBoWUaCB0lFKUaDJoHSiWBgAAAAAAAAABAQEBAQGUaCxLBoWUaCB0lFKUaDdOdWJ1aBhOaBBOaDdOdWIu", "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": 1676435686828719795, "learning_rate": 0.0001, "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": "[[0.36161485 0.00313335 0.62345916]\n [0.36161485 0.00313335 0.62345916]\n [0.36161485 0.00313335 0.62345916]\n [0.36161485 0.00313335 0.62345916]]", "desired_goal": "[[-0.9247523 0.6350383 -0.5489917 ]\n [ 0.37424442 -1.37348 1.4832118 ]\n [ 0.7926091 0.73717815 1.1536622 ]\n [-0.6031503 -1.6228477 0.3113461 ]]", "observation": "[[ 0.36161485 0.00313335 0.62345916 -0.00111746 -0.00185426 0.01973345]\n [ 0.36161485 0.00313335 0.62345916 -0.00111746 -0.00185426 0.01973345]\n [ 0.36161485 0.00313335 0.62345916 -0.00111746 -0.00185426 0.01973345]\n [ 0.36161485 0.00313335 0.62345916 -0.00111746 -0.00185426 0.01973345]]"}, "_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": "[[ 0.1311573 -0.03801901 0.08446101]\n [ 0.0589301 0.07034169 0.12142865]\n [-0.02064355 0.05750817 0.00613315]\n [-0.03378864 -0.08283147 0.2089998 ]]", "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": 25000, "n_steps": 10, "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"}}