{"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVMAAAAAAAAACMHnN0YWJsZV9iYXNlbGluZXMzLmRxbi5wb2xpY2llc5SMCURRTlBvbGljeZSTlC4=", "__module__": "stable_baselines3.dqn.policies", "__annotations__": "{'q_net': <class 'stable_baselines3.dqn.policies.QNetwork'>, 'q_net_target': <class 'stable_baselines3.dqn.policies.QNetwork'>}", "__doc__": "\n    Policy class with Q-Value Net and target net for DQN\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 features_extractor_class: Features extractor to use.\n    :param features_extractor_kwargs: Keyword arguments\n        to pass to the features extractor.\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 DQNPolicy.__init__ at 0x7ea0e1ba88b0>", "_build": "<function DQNPolicy._build at 0x7ea0e1ba8940>", "make_q_net": "<function DQNPolicy.make_q_net at 0x7ea0e1ba89d0>", "forward": "<function DQNPolicy.forward at 0x7ea0e1ba8a60>", "_predict": "<function DQNPolicy._predict at 0x7ea0e1ba8af0>", "_get_constructor_parameters": "<function DQNPolicy._get_constructor_parameters at 0x7ea0e1ba8b80>", "set_training_mode": "<function DQNPolicy.set_training_mode at 0x7ea0e1ba8c10>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7ea0e21dbdc0>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1000000, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1720696333281357126, "learning_rate": 0.0001, "tensorboard_log": null, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAEBAQEBAQEBAQEBAQEBAQGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="}, "_last_original_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_episode_num": 2387, "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:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 14844, "observation_space": {":type:": "<class 'gymnasium.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "bounded_below": "[ True  True  True  True  True  True  True  True]", "bounded_above": "[ True  True  True  True  True  True  True  True]", "_shape": [8], "low": "[-90.        -90.         -5.         -5.         -3.1415927  -5.\n  -0.         -0.       ]", "high": "[90.        90.         5.         5.         3.1415927  5.\n  1.         1.       ]", "low_repr": "[-90.        -90.         -5.         -5.         -3.1415927  -5.\n  -0.         -0.       ]", "high_repr": "[90.        90.         5.         5.         3.1415927  5.\n  1.         1.       ]", "_np_random": null}, "action_space": {":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", ":serialized:": "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", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": "Generator(PCG64)"}, "n_envs": 16, "buffer_size": 1000000, "batch_size": 32, "learning_starts": 50000, "tau": 1.0, "gamma": 0.99, "gradient_steps": 1, "optimize_memory_usage": false, "replay_buffer_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVNQAAAAAAAACMIHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5idWZmZXJzlIwMUmVwbGF5QnVmZmVylJOULg==", "__module__": "stable_baselines3.common.buffers", "__doc__": "\n    Replay buffer used in off-policy algorithms like SAC/TD3.\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        of the replay buffer which reduces by almost a factor two the memory used,\n        at a cost of more complexity.\n        See https://github.com/DLR-RM/stable-baselines3/issues/37#issuecomment-637501195\n        and https://github.com/DLR-RM/stable-baselines3/pull/28#issuecomment-637559274\n        Cannot be used in combination with handle_timeout_termination.\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 ReplayBuffer.__init__ at 0x7ea0e1b84d30>", "add": "<function ReplayBuffer.add at 0x7ea0e1b84dc0>", "sample": "<function ReplayBuffer.sample at 0x7ea0e1b84e50>", "_get_samples": "<function ReplayBuffer._get_samples at 0x7ea0e1b84ee0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7ea0e1b892c0>"}, "replay_buffer_kwargs": {}, "train_freq": {":type:": "<class 'stable_baselines3.common.type_aliases.TrainFreq'>", ":serialized:": "gAWVYQAAAAAAAACMJXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi50eXBlX2FsaWFzZXOUjAlUcmFpbkZyZXGUk5RLBGgAjBJUcmFpbkZyZXF1ZW5jeVVuaXSUk5SMBHN0ZXCUhZRSlIaUgZQu"}, "use_sde_at_warmup": false, "exploration_initial_eps": 1.0, "exploration_final_eps": 0.05, "exploration_fraction": 0.1, "target_update_interval": 625, "_n_calls": 62500, "max_grad_norm": 10, "exploration_rate": 0.05, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "gAWVxQIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSS91c3IvbG9jYWwvbGliL3B5dGhvbjMuMTAvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUjARmdW5jlEuEQwIEAZSMA3ZhbJSFlCl0lFKUfZQojAtfX3BhY2thZ2VfX5SMGHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbpSMCF9fbmFtZV9flIwec3RhYmxlX2Jhc2VsaW5lczMuY29tbW9uLnV0aWxzlIwIX19maWxlX1+UjEkvdXNyL2xvY2FsL2xpYi9weXRob24zLjEwL2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaB99lH2UKGgWaA2MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgXjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz8aNuLrHEMthZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu"}, "batch_norm_stats": [], "batch_norm_stats_target": [], "exploration_schedule": {":type:": "<class 'function'>", ":serialized:": "gAWVZQMAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLBEsTQyhkAXwAGACIAWsEcgiIAFMAiAJkAXwAGACIAIgCGAAUAIgBGwAXAFMAlE5LAYaUKYwScHJvZ3Jlc3NfcmVtYWluaW5nlIWUjEkvdXNyL2xvY2FsL2xpYi9weXRob24zLjEwL2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lIwEZnVuY5RLckMGDAEEARgClIwDZW5klIwMZW5kX2ZyYWN0aW9ulIwFc3RhcnSUh5QpdJRSlH2UKIwLX19wYWNrYWdlX1+UjBhzdGFibGVfYmFzZWxpbmVzMy5jb21tb26UjAhfX25hbWVfX5SMHnN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi51dGlsc5SMCF9fZmlsZV9flIxJL3Vzci9sb2NhbC9saWIvcHl0aG9uMy4xMC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZR1Tk5oAIwQX21ha2VfZW1wdHlfY2VsbJSTlClSlGgdKVKUaB0pUpSHlHSUUpSMHGNsb3VkcGlja2xlLmNsb3VkcGlja2xlX2Zhc3SUjBJfZnVuY3Rpb25fc2V0c3RhdGWUk5RoI32UfZQoaBhoDYwMX19xdWFsbmFtZV9flIwbZ2V0X2xpbmVhcl9mbi48bG9jYWxzPi5mdW5jlIwPX19hbm5vdGF0aW9uc19flH2UKGgKjAhidWlsdGluc5SMBWZsb2F0lJOUjAZyZXR1cm6UaC91jA5fX2t3ZGVmYXVsdHNfX5ROjAxfX2RlZmF1bHRzX1+UTowKX19tb2R1bGVfX5RoGYwHX19kb2NfX5ROjAtfX2Nsb3N1cmVfX5RoAIwKX21ha2VfY2VsbJSTlEc/qZmZmZmZmoWUUpRoN0c/uZmZmZmZmoWUUpRoN0c/8AAAAAAAAIWUUpSHlIwXX2Nsb3VkcGlja2xlX3N1Ym1vZHVsZXOUXZSMC19fZ2xvYmFsc19flH2UdYaUhlIwLg=="}, "system_info": {"OS": "Linux-6.1.85+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Thu Jun 27 21:05:47 UTC 2024", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.3.0+cu121", "GPU Enabled": "True", "Numpy": "1.25.2", "Cloudpickle": "2.2.1", "Gymnasium": "0.28.1", "OpenAI Gym": "0.25.2"}}