Mriganka1999's picture
Initial commit
ab1538e verified
{"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVNwAAAAAAAACMHnN0YWJsZV9iYXNlbGluZXMzLnNhYy5wb2xpY2llc5SMEE11bHRpSW5wdXRQb2xpY3mUk5Qu", "__module__": "stable_baselines3.sac.policies", "__doc__": "\n Policy class (with both actor and critic) for SAC.\n\n :param observation_space: Observation space\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 use_sde: Whether to use State Dependent Exploration or not\n :param log_std_init: Initial value for the log standard deviation\n :param use_expln: Use ``expln()`` function instead of ``exp()`` when using gSDE 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 clip_mean: Clip the mean output when using gSDE to avoid numerical instability.\n :param features_extractor_class: Features extractor to use.\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 :param n_critics: Number of critic networks to create.\n :param share_features_extractor: Whether to share or not the features extractor\n between the actor and the critic (this saves computation time)\n ", "__init__": "<function MultiInputPolicy.__init__ at 0x7e482d500160>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7e482d4f2e80>"}, "verbose": 1, "policy_kwargs": {"use_sde": false}, "num_timesteps": 1000000, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1717841820434925004, "learning_rate": 0.0003, "tensorboard_log": null, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "gAWVewIAAAAAAACMC2NvbGxlY3Rpb25zlIwLT3JkZXJlZERpY3SUk5QpUpQojA1hY2hpZXZlZF9nb2FslIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QoljAAAAAAAAAAiZuKv7LEG76IIZY8WWljv6n0Tj8tPpY8j8RDP5s0hj8tPpY8ycJov/4Mqz6iIpY8lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksESwOGlIwBQ5R0lFKUjAxkZXNpcmVkX2dvYWyUaAcoljAAAAAAAAAAF3y/v0Jptj5nV6syHrudPxvQrb9nV6sy6rdkv8uzt79nV6syGf+PPwLZLj5nV6sylGgOSwRLA4aUaBJ0lFKUjAtvYnNlcnZhdGlvbpRoByiWIAEAAAAAAAA4/94+WXXPPdpwOz/sqRo/cbUEvtg2Bz+Jm4q/ssQbvoghljxXwPO5Nf49uuRqzbu7kV884sxBO9RlFTxFHyk78cM8uxmOOjtXcoM/ToknvvdlZ78BeXA+r0X4OkyRobpZaWO/qfROPy0+ljwhrIU4tDVrula6j7t5JUA8lrCDO6LjADwBzgO8B7cNvPhDyTpuyBU+omffv1TKuD5o2Fg9cxfavV7X67+PxEM/mzSGPy0+ljzpqIU4zTVrus/5vrvLJkA8ArODO8DjADzz0gO8ma8NvGcwyTr7W34//BVxvmMgVT+ZHPE8EPxtvzBAKj/Jwmi//gyrPqIiljzz8/G5Y7E9unw1QroRi188SGdCO6RBFTxu8CU7IUs9u1xpOjuUaA5LBEsShpRoEnSUUpR1Lg==", "achieved_goal": "[[-1.0828716 -0.15211752 0.01832654]\n [-0.8883262 0.8084207 0.01834019]\n [ 0.764718 1.0484804 0.01834019]\n [-0.9092222 0.3340835 0.01832706]]", "desired_goal": "[[-1.4959744e+00 3.5627180e-01 1.9946766e-08]\n [ 1.2322729e+00 -1.3579134e+00 1.9946766e-08]\n [-8.9343131e-01 -1.4351743e+00 1.9946766e-08]\n [ 1.1249725e+00 1.7074969e-01 1.9946766e-08]]", "observation": "[[ 4.3554091e-01 1.0129804e-01 7.3219073e-01 6.0415530e-01\n -1.2959839e-01 5.2818060e-01 -1.0828716e+00 -1.5211752e-01\n 1.8326536e-02 -4.6491876e-04 -7.2476576e-04 -6.2688459e-03\n 1.3645585e-02 2.9571583e-03 9.1185160e-03 2.5805992e-03\n -2.8803314e-03 2.8466044e-03]\n [ 1.0269269e+00 -1.6360971e-01 -9.0389961e-01 2.3483659e-01\n 1.8941666e-03 -1.2326627e-03 -8.8832623e-01 8.0842072e-01\n 1.8340195e-02 6.3739957e-05 -8.9725410e-04 -4.3862266e-03\n 1.1727684e-02 4.0188534e-03 7.8667719e-03 -8.0447206e-03\n -8.6495942e-03 1.5355339e-03]\n [ 1.4627239e-01 -1.7453501e+00 3.6091864e-01 5.2940756e-02\n -1.0649004e-01 -1.8425100e+00 7.6471800e-01 1.0484804e+00\n 1.8340195e-02 6.3733962e-05 -8.9725555e-04 -5.8281193e-03\n 1.1727999e-02 4.0191421e-03 7.8667998e-03 -8.0458997e-03\n -8.6478228e-03 1.5349508e-03]\n [ 9.9359101e-01 -2.3543543e-01 8.3252543e-01 2.9432582e-02\n -9.2962742e-01 6.6504192e-01 -9.0922219e-01 3.3408350e-01\n 1.8327061e-02 -4.6148858e-04 -7.2362105e-04 -7.4084825e-04\n 1.3643996e-02 2.9663611e-03 9.1098882e-03 2.5320309e-03\n -2.8883892e-03 2.8444147e-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": "[[-0.09572687 -0.01357664 0.01998967]\n [-0.0784655 0.07040871 0.01998976]\n [ 0.06820371 0.0913985 0.01998976]\n [-0.08031953 0.02893469 0.01998967]]", "desired_goal": "[[-0.12975723 0.03129948 0.02 ]\n [ 0.10771474 -0.11883463 0.02 ]\n [-0.0773107 -0.1256014 0.02 ]\n [ 0.0983751 0.01505083 0.02 ]]", "observation": "[[ 7.02878088e-02 2.48840563e-02 2.69249231e-01 8.36338699e-02\n -4.51244973e-02 1.57726750e-01 -9.57268700e-02 -1.35766435e-02\n 1.99896675e-02 -1.44475061e-05 1.34578158e-05 1.12075264e-04\n 2.01520179e-05 2.33237479e-05 1.39412862e-07 8.64775939e-06\n 1.68198073e-06 5.64630202e-04]\n [ 1.94137290e-01 -4.92662713e-02 5.30347321e-03 1.74837187e-04\n 6.49013091e-05 -1.52564691e-02 -7.84654990e-02 7.04087093e-02\n 1.99897643e-02 1.89278726e-05 5.09909205e-06 3.73298593e-04\n -2.67265714e-05 4.18548261e-05 -2.00834838e-05 -1.88028580e-03\n -1.19349035e-03 1.36683724e-04]\n [ 9.70848277e-03 -4.92011219e-01 2.09352970e-01 -4.09301780e-02\n -3.71829607e-02 -6.16884887e-01 6.82037100e-02 9.13984999e-02\n 1.99897643e-02 1.89274942e-05 5.09902065e-06 1.73228429e-04\n -2.67188771e-05 4.18598647e-05 -2.00830327e-05 -1.88049546e-03\n -1.19312340e-03 1.36493400e-04]\n [ 1.87156022e-01 -6.93710074e-02 2.85435945e-01 -4.62425798e-02\n -3.20066512e-01 2.02445522e-01 -8.03195313e-02 2.89346911e-02\n 1.99896712e-02 -1.42309518e-05 1.35132886e-05 8.79114086e-04\n 2.01131843e-05 2.34843774e-05 1.38792797e-11 1.34804337e-08\n 1.27274209e-08 5.63915470e-04]]"}, "_episode_num": 21579, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": 0.0, "_stats_window_size": 100, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVhgAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKImJiYmJiYmJiYmJiYmJiYmJiYiJiYmJiImJiYmJiYmJiYiJiYmJiYmJiYiJiYmJiYmJiYmJiYmIiYmJiYmJiYmIiIiJiYmJiYmJiYmJiYmJiYmJiYmJiImIiYmJiYmJiYmJiIllLg=="}, "_n_updates": 249975, "buffer_size": 1000000, "batch_size": 256, "learning_starts": 100, "tau": 0.005, "gamma": 0.99, "gradient_steps": 1, "optimize_memory_usage": false, "replay_buffer_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVOQAAAAAAAACMIHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5idWZmZXJzlIwQRGljdFJlcGxheUJ1ZmZlcpSTlC4=", "__module__": "stable_baselines3.common.buffers", "__annotations__": "{'observation_space': <class 'gymnasium.spaces.dict.Dict'>, 'obs_shape': typing.Dict[str, typing.Tuple[int, ...]], 'observations': typing.Dict[str, numpy.ndarray], 'next_observations': typing.Dict[str, numpy.ndarray]}", "__doc__": "\n Dict Replay buffer used in off-policy algorithms like SAC/TD3.\n Extends the ReplayBuffer to use dictionary observations\n\n :param buffer_size: Max number of element in the buffer\n :param observation_space: Observation space\n :param action_space: Action space\n :param device: PyTorch device\n :param n_envs: Number of parallel environments\n :param optimize_memory_usage: Enable a memory efficient variant\n Disabled for now (see https://github.com/DLR-RM/stable-baselines3/pull/243#discussion_r531535702)\n :param handle_timeout_termination: Handle timeout termination (due to timelimit)\n separately and treat the task as infinite horizon task.\n https://github.com/DLR-RM/stable-baselines3/issues/284\n ", "__init__": "<function DictReplayBuffer.__init__ at 0x7e482d61c040>", "add": "<function DictReplayBuffer.add at 0x7e482d61c0d0>", "sample": "<function DictReplayBuffer.sample at 0x7e482d61c160>", "_get_samples": "<function DictReplayBuffer._get_samples at 0x7e482d61c1f0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7e482d60b2c0>"}, "replay_buffer_kwargs": {}, "train_freq": {":type:": "<class 'stable_baselines3.common.type_aliases.TrainFreq'>", ":serialized:": "gAWVYQAAAAAAAACMJXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi50eXBlX2FsaWFzZXOUjAlUcmFpbkZyZXGUk5RLAWgAjBJUcmFpbkZyZXF1ZW5jeVVuaXSUk5SMBHN0ZXCUhZRSlIaUgZQu"}, "use_sde_at_warmup": false, "target_entropy": -3.0, "ent_coef": "auto", "target_update_interval": 1, "observation_space": {":type:": "<class 'gymnasium.spaces.dict.Dict'>", ":serialized:": "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", "spaces": "OrderedDict([('achieved_goal', Box(-10.0, 10.0, (3,), float32)), ('desired_goal', Box(-10.0, 10.0, (3,), float32)), ('observation', Box(-10.0, 10.0, (18,), float32))])", "_shape": null, "dtype": null, "_np_random": null}, "action_space": {":type:": "<class 'gymnasium.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "bounded_below": "[ True True True]", "bounded_above": "[ True True True]", "_shape": [3], "low": "[-1. -1. -1.]", "high": "[1. 1. 1.]", "low_repr": "-1.0", "high_repr": "1.0", "_np_random": "Generator(PCG64)"}, "n_envs": 4, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "batch_norm_stats": [], "batch_norm_stats_target": [], "system_info": {"OS": "Linux-6.1.85+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sun Apr 28 14:29:16 UTC 2024", "Python": "3.10.12", "Stable-Baselines3": "2.3.2", "PyTorch": "2.3.0+cu121", "GPU Enabled": "False", "Numpy": "1.25.2", "Cloudpickle": "2.2.1", "Gymnasium": "0.29.1", "OpenAI Gym": "0.25.2"}}