a2c-PandaReachDense-v2 / config.json
gauthamk28's picture
Second iteration with 5 envs
3cb0e63
{"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 0x7f18f5fec820>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f18f5fe6d80>"}, "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": 5, "num_timesteps": 1000000, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1679306884448033840, "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": "[[ 0.41535634 -0.01697318 0.5416989 ]\n [ 0.41535634 -0.01697318 0.5416989 ]\n [ 0.41535634 -0.01697318 0.5416989 ]\n [ 0.41535634 -0.01697318 0.5416989 ]\n [ 0.41535634 -0.01697318 0.5416989 ]]", "desired_goal": "[[-0.3367897 1.0384086 1.3532104 ]\n [ 0.96007854 1.3642843 0.43078482]\n [ 0.16498631 -0.8071034 -0.5770178 ]\n [ 0.12052676 1.70475 -0.4951785 ]\n [-0.9898303 -0.6615475 -0.26474988]]", "observation": "[[ 0.41535634 -0.01697318 0.5416989 0.01439962 -0.00257058 0.01012093]\n [ 0.41535634 -0.01697318 0.5416989 0.01439962 -0.00257058 0.01012093]\n [ 0.41535634 -0.01697318 0.5416989 0.01439962 -0.00257058 0.01012093]\n [ 0.41535634 -0.01697318 0.5416989 0.01439962 -0.00257058 0.01012093]\n [ 0.41535634 -0.01697318 0.5416989 0.01439962 -0.00257058 0.01012093]]"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVeAAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYFAAAAAAAAAAEBAQEBlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksFhZSMAUOUdJRSlC4="}, "_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]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01]]", "desired_goal": "[[-0.12735713 0.08201654 0.25766152]\n [-0.06606362 0.1345119 0.18354814]\n [ 0.08947498 0.07713898 0.24813986]\n [-0.02493812 -0.02803432 0.16733333]\n [ 0.08581377 0.07761398 0.09210597]]", "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]\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": 40000, "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"}}