a2c-PandaReachDense-v2 / config.json
FBM's picture
Initial commit
a3aecfb
raw
history blame
15.6 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 0x7f5d1ec83a60>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f5d1ec80ec0>"}, "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": 1400000, "_total_timesteps": 1400000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1679898087197475770, "learning_rate": 0.0007, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "gAWVwwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOS9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZSMBGZ1bmOUS4JDAgABlIwDdmFslIWUKXSUUpR9lCiMC19fcGFja2FnZV9flIwYc3RhYmxlX2Jhc2VsaW5lczMuY29tbW9ulIwIX19uYW1lX1+UjB5zdGFibGVfYmFzZWxpbmVzMy5jb21tb24udXRpbHOUjAhfX2ZpbGVfX5SMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOS9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZR1Tk5oAIwQX21ha2VfZW1wdHlfY2VsbJSTlClSlIWUdJRSlIwcY2xvdWRwaWNrbGUuY2xvdWRwaWNrbGVfZmFzdJSMEl9mdW5jdGlvbl9zZXRzdGF0ZZSTlGgffZR9lChoFmgNjAxfX3F1YWxuYW1lX1+UjBljb25zdGFudF9mbi48bG9jYWxzPi5mdW5jlIwPX19hbm5vdGF0aW9uc19flH2UjA5fX2t3ZGVmYXVsdHNfX5ROjAxfX2RlZmF1bHRzX1+UTowKX19tb2R1bGVfX5RoF4wHX19kb2NfX5ROjAtfX2Nsb3N1cmVfX5RoAIwKX21ha2VfY2VsbJSTlEc/RvAGjbi6x4WUUpSFlIwXX2Nsb3VkcGlja2xlX3N1Ym1vZHVsZXOUXZSMC19fZ2xvYmFsc19flH2UdYaUhlIwLg=="}, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "achieved_goal": "[[ 0.4778196 -0.00166414 0.555448 ]\n [ 0.4778196 -0.00166414 0.555448 ]\n [ 0.4778196 -0.00166414 0.555448 ]\n [ 0.4778196 -0.00166414 0.555448 ]]", "desired_goal": "[[-0.34091076 -0.3240263 -1.1008006 ]\n [-0.48629564 0.0562554 -0.5416335 ]\n [ 0.00874838 1.4255182 -1.2780942 ]\n [-0.6225181 1.6553699 0.38285774]]", "observation": "[[ 4.7781959e-01 -1.6641355e-03 5.5544800e-01 -1.7556441e-03\n -1.8263366e-03 -4.9713603e-04]\n [ 4.7781959e-01 -1.6641355e-03 5.5544800e-01 -1.7556441e-03\n -1.8263366e-03 -4.9713603e-04]\n [ 4.7781959e-01 -1.6641355e-03 5.5544800e-01 -1.7556441e-03\n -1.8263366e-03 -4.9713603e-04]\n [ 4.7781959e-01 -1.6641355e-03 5.5544800e-01 -1.7556441e-03\n -1.8263366e-03 -4.9713603e-04]]"}, "_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": "[[ 0.05143175 -0.11664402 0.18524984]\n [ 0.06717198 0.12156921 0.05741302]\n [-0.06040413 0.12421562 0.13440973]\n [ 0.06098697 0.12286677 0.15450963]]", "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": 70000, "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"}}